AI engineer jobs & developer careers

> 📍 **Employment Type:** Temporary / Part-time or Full-time *(Flexible working hours Mon–Fri, 6:00 AM – 7:00 PM)* > ⏱️ **Duration:** Minimum 12 months > 🎓 **Target Audience:** Master's degree students (Computer Science, Electrical Engineering, or related field) > 👤 **Contact Recruiter:** Simona Tafuri --- ## About Infineon **Infineon Technologies** is a global leader in semiconductor solutions across power systems and IoT. Infineon develops technology for green energy, clean and safe mobility, and smart IoT applications, enabling decarbonization and digitalization worldwide. --- ## Your Role In this position, you will work at the intersection of **Artificial Intelligence** and **Semiconductor Engineering**, building AI-driven agents to automate integrated circuit (IC) design and verification workflows. --- ## Key Responsibilities * **Agent Development:** Design and develop AI agents to automate IC product development tasks. * **Process Optimization:** Help optimize semiconductor product design and verification pipelines. * **Collaboration & Training:** Work closely with cross-functional experts to design, train, evaluate, and benchmark AI agents. * **Deployment & Integration:** Integrate developed AI agents into existing engineering and production workflows. --- ## Qualifications & Profile ### Required Qualifications * **Education:** Currently pursuing a Master’s degree in Computer Science, Electrical Engineering, or a related technical field. * **Technical Skills:** Solid understanding of programming concepts; hands-on familiarity with **Python, Git**, and **AI frameworks/tools** (e.g., GitHub Copilot, LangChain). * **Languages:** Fluency in written and spoken English. * **Mindset:** Self-motivated, curious, clear communicator, and capable of working independently. ### Preferred / "Good to Have" Skills * Basic understanding of **IC digital design and verification**. * Experience with **SystemVerilog** and **UVM** (Universal Verification Methodology). --- ## Compensation & Legal Notice * **Collective Agreement:** Subject to the collective agreement for white-collar workers in the electrical and electronics industry (Employment Group D for Master's students). --- ## Application Requirements Please include the following documents in **English or German** with your application: 1. **CV** 2. **Certificate of Matriculation** (Enrollment proof from your university) 3. **Latest Transcript of Records** *(Not older than 6 months)* 4. **Highest Completed Educational Certificate** *(Bachelor’s degree certificate)* 5. **Reference Letter** *(Optional)* 6. **Motivation Letter** *(Optional)*

> 📍 **Location:** Paris, France > ⏱️ **Start Date:** As soon as possible (ASAP) > 👤 **Reports To:** Head of Regulatory Reporting > 📄 **Application Requirement:** Submit CV in English --- ## About Euronext & European Market Services **Euronext** is the leading pan-European market infrastructure provider, covering listing, trading, clearing, and settlement across seven national stock exchanges handling 25% of European lit equity trading. The **European Market Services (EMS)** department ensures the smooth, secure, and efficient operation of Euronext’s markets. EMS manages instrument reference data, enforces harmonized trading rules, monitors live trading sessions, and operates the mechanisms that safeguard market integrity and client trust across all seven locations. --- ## Key Responsibilities * **AI & Automation Development:** Design and build AI-powered tools to automate recurring regulatory reporting tasks, KPI generation, data quality checks, incident reporting, and regulator feedback analysis. * **Analyst Copilots & Interfaces:** Build user-friendly web interfaces, dashboards, or copilots that enable regulatory analysts to launch investigations, retrieve data, and generate reports efficiently. * **LLM & Agent Integration:** Integrate Large Language Models (LLMs), AI agents, and workflow automations into core regulatory reporting processes and historical knowledge bases. * **Data Pipelines & Scripting:** Develop reusable Python scripts for data extraction, validation, reconciliation, and root-cause analysis. * **Process Optimization:** Evaluate operational reporting pipelines to identify and eliminate manual effort while iterating based on business user feedback. * **Technical Documentation:** Document code, workflows, and solutions to ensure long-term reusability and maintainability. --- ## Qualifications & Profile ### Core Qualifications * **GenAI & Automation Focus:** Deep interest in Artificial Intelligence, Generative AI, prompt engineering, and process automation. * **Programming & Scripting:** Solid proficiency in **Python** for data extraction, manipulation, and automation. * **Data & Dev Tools:** Experience with data analysis tools (**SQL, Excel, Power BI**) and modern dev environments (**GitHub, VS Code**). * **Front-End / UI:** Basic front-end development experience (web applications, dashboards, or low-code platforms). * **Languages:** **Fluent English** is required; French or another Euronext market language is a plus. * **Soft Skills:** Autonomous, curious, structured communicator, and eager to solve complex problems in a dynamic environment. ### Nice to Have * Familiarity with **MCP (Model Context Protocol)** and AI orchestration frameworks. * Knowledge of financial markets, regulatory reporting, or workflow automation tools. * Experience working with APIs, **Jira**, and Agile methodologies. --- ## Euronext Core Values * **Unity:** Respect colleagues, value diversity, and stay unified through a shared purpose. * **Integrity:** Drive open transparency, act with high ethical standards, and learn from mistakes. * **Agility:** Act decisively, adapt quickly, and take smart risks. * **Energy:** Challenge the status quo, drive positive outcomes, and motivate peers. * **Accountability:** Take full ownership of results and deliver maximum value to stakeholders.

> 📍 **Location:** Paris, France > 👤 **Reports To:** IT Delivery Manager > 🎓 **Target Audience:** Final year student (Master’s degree or Engineering school) > 📄 **Application Requirement:** Submit CV in English --- ## About Euronext & Technology & Operations **Euronext** is a leading European market infrastructure firm powering capital markets across the continent. The **Technology & Operations** team consists of ~800 technology specialists across Milan, Porto, Paris, and the Nordics who design, build, and operate high-performance trading platforms, post-trade systems, Clearing House operations, and Central Securities Depositories (CSDs). --- ## Key Responsibilities * **Prompt & Skills Engineering:** Design, develop, optimize, and document prompts and skills for AI solutions. * **AI Reporting:** Create and refine automated, AI-generated reporting workflows. * **Clean Code & Testing:** Produce clean, testable, well-documented code while writing unit tests and using quality assurance tools. * **AI Standards & Ethics:** Adhere to modern AI development best practices, ensuring compliance with ethics, bias mitigation, and data security standards. * **Integration & APIs:** Integrate AI solutions into enterprise microservices and platforms via APIs. * **Continuous Improvement:** Actively contribute to code quality and model performance enhancements. --- ## Qualifications & Profile ### Minimum Qualifications * **Education:** Final year student pursuing a Master’s degree or Engineering degree in Computer Science, AI, Data Science, or a related technical field. * **Programming:** Proficient in **Python** with strong core software engineering fundamentals. * **Core Interests:** Deep interest in **Generative AI, Large Language Models (LLMs), and agent architectures**. * **Web & APIs:** Skills in API and web framework development (**FastAPI, Flask**, or equivalent). * **Tools & Environment:** Comfortable with **Linux, Git**, and modern development workflows. * **Soft Skills:** Curious, autonomous, proactive, clear communicator, with fluent/good written and spoken **English**. ### Nice-to-Have (Pluses) * Experience with **Transformer models, Retrieval-Augmented Generation (RAG)**, or agent orchestration systems. * Hands-on experience with **prompt optimization and evaluation frameworks** for LLM-based systems. --- ## Euronext Core Values * **Unity:** Value colleagues, embrace diversity, and stay unified through a common purpose. * **Integrity:** Communicate transparently, act honestly, and learn from mistakes. * **Agility:** Act with urgency, adapt to change, and take smart risks. * **Energy:** Drive positive change, encourage personal leadership, and challenge the status quo. * **Accountability:** Deliver maximum value to stakeholders and take ownership of outcomes.

> 📍 **Location:** Paris, France (Porte de Clichy – Metro lines 13 & 14 / Tramway) > 💰 **Compensation:** €1,350 / month + Meal card with company contribution > ⏱️ **Duration:** 3–6 Months (Starting September 2026, ideally end-of-studies internship) > 👤 **Reports To:** Erwan Keraudy (CEO) --- ## About CybelAngel **CybelAngel** is a global cybersecurity company that protects critical data and assets for Fortune 500 companies and mid-sized businesses worldwide. Operating across France and the US with a global team of ~130 members, CybelAngel combines advanced machine learning, cybersecurity analysis, and automated software solutions to detect and resolve digital threats before cybercriminals can exploit them. --- ## About The Role This is a hands-on, high-autonomy **Data Science / AI / CyberOps Internship** working directly with the **CEO, CTPO, Cybersecurity Analysts, and Product Team**. The primary objective is to experiment, rapidly prototype, and build GenAI-driven automations and AI agents to streamline CybelAngel's CyberOps workflows. --- ## Main Missions & Responsibilities * **CyberOps Automation:** Identify manual operational and analysis tasks within CyberOps that can be automated using AI. * **Rapid Prototyping & "Vibe Coding":** Build and experiment with rapid AI-driven prototypes using AI-assisted coding tools (e.g., **Claude Code** and related modern dev tools). * **AI Agents & Workflows:** Explore and design workflow automations leveraging LLMs, APIs, **MCP (Model Context Protocol)**, and orchestration tools. * **Testing & Iteration:** Continuously test, refine, and improve prototypes based on operational feedback. * **Strategic Recommendations:** Provide structured technical feedback, insights, and recommendations to leadership and product teams. --- ## Qualifications & Skills ### Hard Skills * **AI-Assisted Coding:** Comfortable using tools like **Claude Code** or similar agentic coding assistants. * **Programming & APIs:** Basic to intermediate skills in **Python** (preferred), with a solid understanding of APIs, JSON, and data flows. * **LLM Engineering:** Familiarity with prompting, evaluating, and iterating on Large Language Models. * **Analytical Background:** Background in **Data Science, Computer Science, or Engineering**. * **Cybersecurity Interest:** Understanding or strong interest in cybersecurity concepts is a plus. ### Soft Skills * Autonomous, proactive, and execution-oriented. * Comfortable navigating ambiguity and fast-paced experimentation. * Resourceful problem solver with strong written and verbal communication skills. --- ## Benefits & Hiring Process ### Perks & Benefits * **Salary:** €1,350 / month. * **Food Allowance:** Swile/debit card for lunches with company contribution. * **Culture & Environment:** Friendly, multicultural team (19 nationalities) located at Porte de Clichy (Paris 17th/Batignolles). ### Hiring Process 1. **HR Interview (30 mins):** With Talent Acquisition Manager (Pierre). 2. **Manager Interview:** With CEO (Erwan Keraudy). 3. **Business Case Presentation:** Presented to Erwan Keraudy (CEO) and Thibaut Eychene (CyberOps Lead).

## About Xsolla **Xsolla** is a global commerce company headquartered in Los Angeles, California, providing game developers—from indie creators to AAA studios—with tools and services to fund, distribute, market, and monetize their games. Operating as the merchant of record for over **1,500+ game developers**, Xsolla enables creators to reach players and grow their businesses worldwide. --- ## About The Role Xsolla is transitioning into an **AI-first company**. As an **AI Engineer Intern**, you won't sit in the back office—you will build and ship code that directly reaches real users (internal teams or external game developers and players). You will focus on two core areas: * **Internal AI Initiatives:** Building AI tooling and integrations to remove operational friction faster. * **Proof-of-Concept Builds:** Creating applications on top of Xsolla’s APIs and SDKs to demonstrate what is possible when building with AI as a core component. --- ## Key Responsibilities * **Build & Ship Code:** Collaborate with senior engineers to identify friction points and build production-grade AI solutions and integrations. * **API & SDK Development:** Build applications on top of Xsolla's APIs/SDKs that demonstrate speed improvements via AI-assisted development. * **Agentic Tooling First:** Use agentic coding tools (**Claude Code, Cursor**, or similar) as your default, everyday workflow. * **Weekly Demos:** Participate in weekly 30-second lightning-talk demos to showcase how you used AI to solve a specific problem that week. * **High-Autonomy Environment:** Operate with minimal process—taking context, a problem, and mentor guidance to design and execute solutions independently. * **Cross-Regional Collaboration:** Work alongside senior mentors and a global cohort of fellow interns trading ideas, code, and AI workflows. --- ## What We're Looking For * **Education:** Open to current **undergraduate students, graduate students, and recent graduates** in Computer Science, Software Engineering, or a related program. * **Proven Builder Mindset:** Side projects, hackathon entries, or open-source contributions driven by personal curiosity. * **Hands-On AI Fluency:** Demonstrated experience using agentic coding tools (**Claude Code, Cursor, Copilot**) to build real applications (not just prompting ChatGPT for explanations). * **Bias Toward Action:** Ability to start building and problem-solving through ambiguous requirements before asking for a spec. * **Full-Stack Capabilities:** Comfort developing modern full-stack solutions with a strong ability to learn quickly. --- ## Application Requirements To apply, you must include: 1. **Portfolio Link:** A link to a GitHub profile, deployed project, or self-directed work. 2. **Short Response (2–3 sentences or a 2-minute Loom video):** > *"What's something hard you built recently, and why did you build it?"*

> 📍 **Location:** Remote (Work from Anywhere) > 💼 **Job Type:** Part-Time > 💰 **Payout:** Competitive, based on experience --- ## Role Overview We are hiring on behalf of a global leader in the Technology, Information, and Internet industry for **ML Engineers** to join an **MLE Bench** project on a part-time basis. This role involves hands-on work with production-grade ML codebases, model training, evaluation pipelines, and deployment-oriented workflows to help assess and improve the capabilities of **frontier AI systems**. The ideal candidate bridges research and engineering, working deeply with models, data, and infrastructure in realistic ML environments alongside top AI researchers and engineers. --- ## Key Responsibilities * **Benchmarking & Evaluation:** Work with real-world ML codebases to support MLE Bench–style evaluation tasks. * **Pipeline Management:** Build, execute, and modify model training, evaluation, and inference pipelines. * **Data Preparation:** Prepare datasets, features, and evaluation metrics for ML benchmarking and validation. * **Codebase Refactoring & Optimization:** Debug, refactor, and improve production-like ML systems for correctness, stability, and performance. * **Model Diagnostics:** Evaluate model behavior, failure modes, and edge cases relevant to benchmark tasks. --- ## Required Skills & Qualifications * **Experience:** **3+ years** of overall experience as a Machine Learning Engineer or ML-focused Software Engineer. * **Programming:** Strong proficiency in **Python** for machine learning and data workflows. * **ML Pipelines:** Hands-on experience building and modifying model training, evaluation, and inference pipelines. * **Core Fundamentals:** Solid understanding of machine learning fundamentals (supervised/unsupervised learning, metrics, optimization). * **Frameworks:** Hands-on experience with major ML frameworks such as **PyTorch** or **TensorFlow**. --- ## About the Client & Hiring Process * **Opportunity:** Contribute directly to the development and evaluation of cutting-edge frontier AI systems. * **Equal Opportunity Employer:** Hiring decisions are based solely on technical ability, demonstrated skills, and relevant qualifications regardless of background.

> 📍 **Location:** Zagreb or Split, Croatia > 💰 **Pay Rate:** €9 – €12 / hour (Paid Internship with potential for long-term extension or full-time offer) > ⏰ **Commitment:** 30+ hours/week (Flexible around university schedules) --- ## Who We Are We are a product engineering team building an **AI-native HR SaaS platform**. For us, "AI-native" isn't just a marketing label—it’s built into how we work and ship software every day. * **Backend:** C# / .NET * **Frontend:** Angular * **Core Focus:** Actively integrating production-grade AI capabilities into the core product. --- ## What You'll Build You will work directly on production features that serve real clients, including: * **AI-Powered Product Features:** CV review assistants, smart content generation tools, summarization engines, and personalized recommendation tools. * **Full-Stack Features:** End-to-end development across the .NET and Angular ecosystem. * **API Integrations:** Connecting the core HR platform to external AI services and cloud platforms. * **Production Code:** Reviewed, tested, high-quality code that actually ships. --- ## How You'll Work * **AI-First Workflow:** Tools like **Claude Code, Cursor, and GitHub Copilot** are standard daily instruments here—no restrictive usage caps. * **Modern LLM Stack:** Exposure to custom skills, **MCP (Model Context Protocol) servers**, and agentic workflows. * **Engineering Culture:** Fast iteration, collaborative code reviews, and direct 1-on-1 mentorship from senior engineers and architects. --- ## What We're Looking For ### Core Engineering (The Baseline) * Pursuing or recently completed a degree in **Computer Science, Software Engineering**, or a related technical field. * Solid grasp of **C# / .NET** and/or modern JavaScript frameworks (**Angular** is a strong plus). * Comfortable with **Git** and collaborative development. * Available for **at least 30 hours/week** with schedule flexibility for coursework. ### AI Tooling Background * Hands-on experience with AI development tools (**Cursor, Claude Code, Copilot**, etc.). * Experience building projects with **LLM APIs** (OpenAI, Anthropic), LangChain, or custom AI side projects. ### Nice to Have * Database experience (**PostgreSQL** or **SQL Server**). * Familiarity with **AWS**. * Comfort with ambiguity, fast pace, and high-velocity iteration. --- ## What We Offer * **Competitive Pay:** €9 to €12 per hour student rate, with potential for permanent employment. * **Direct Mentorship:** 1-on-1 guidance from senior developers actively building production AI features. * **Office Perks:** Free daily lunch in the office and a **MultiSport** gym card. * **Culture:** A relaxed, results-driven, high-output team environment.

## Role Overview * **Job Title:** Data Science Intern * **Location:** Remote (Europe) * **Duration:** 2–3 Months (Flexible schedule) * **Target Audience:** Motivated students and recent graduates across Europe passionate about data science, machine learning, and AI. --- ## Key Responsibilities * **Data Processing & EDA:** Collect, clean, and preprocess structured and unstructured datasets; execute exploratory data analysis (EDA) to identify trends and business insights. * **ML Model Development:** Assist in developing, training, evaluating, and documenting machine learning models for real-world applications. * **Visualization & Reporting:** Design dashboards, reports, and data visualizations to communicate analytical findings to project stakeholders. * **Technical Execution:** Utilize Python data libraries (Pandas, NumPy, Scikit-learn, Matplotlib) and SQL for data querying and analysis. * **Collaboration & Documentation:** Document methodologies, project findings, and technical recommendations while working collaboratively across remote teams. --- ## Qualifications & Skills ### Qualifications * Currently pursuing or recently completed a Bachelor's or Master's degree in **Data Science, Computer Science, AI, Statistics, Mathematics, Engineering, IT**, or a related quantitative field. * Strong interest in Data Science, Machine Learning, and Artificial Intelligence. * Ability to work independently and collaboratively in a 100% remote setting. ### Key Skills (Required & Preferred) * **Programming:** Basic to intermediate proficiency in **Python** (Pandas, NumPy, Scikit-learn, Matplotlib). * **Data & SQL:** Understanding of relational databases, SQL querying, and dataset manipulation. * **Fundamentals:** Solid grounding in statistics, probability, and core machine learning algorithms. * **Tools & Visualization:** Familiarity with Jupyter Notebooks, Git/version control, and BI tools (**Power BI, Tableau**, or Matplotlib). * **Soft Skills:** Analytical thinking, problem-solving mindset, and clear written and verbal communication. --- ## Who Can Apply * Undergraduate and postgraduate students looking for practical industry experience. * Recent graduates seeking hands-on exposure to build an industry-ready portfolio. * Self-motivated learners eager to transform real-world data into predictive models and actionable insights. --- ## Perks & Benefits * **Certificates & Endorsements:** Certificate of Internship upon completion + performance-based **Letter of Recommendation** and top-performer recognition awards. * **Career Development:** Resume review, LinkedIn profile optimization, and mock interview preparation sessions. * **Portfolio & Experience:** Build a tangible portfolio of industry-relevant Data Science and ML projects. * **Flexibility:** 100% remote working environment with flexible hours to accommodate academic commitments. * **Learning & Community:** Access to case studies, technical workshops, curated learning resources, and networking opportunities.

## About PlusAI **PlusAI** is a Physical AI company pioneering AI-based virtual driver software for factory-built autonomous trucks. Headquartered in Silicon Valley with operations in the United States and Europe, Plus was named by *Fast Company* as one of the World’s Most Innovative Companies. Plus collaborates with global partners—including **TRATON GROUP (Scania, MAN, International), Hyundai Motor Company, Iveco Group, Bosch, and DSV**—to accelerate the real-world deployment of next-generation autonomous trucks. --- ## About The Role This internship role focuses on **3D/4D Digital Twin Reconstruction & Neural Rendering** within the Simulation and Perception teams. You will build and optimize pipelines that reconstruct high-fidelity, multi-modal 3D representations of driving routes from real vehicle data, applying cutting-edge view-synthesis techniques to stress-test autonomous driving stacks against complex edge cases. --- ## Core Focus & Key Responsibilities * **Construct Digital Twins:** Develop pipelines to reconstruct high-fidelity multi-modal 3D representations using recorded sensor data (camera, LiDAR, IMU, and GPS). * **Next-Gen Neural Rendering:** Apply state-of-the-art view-synthesis techniques—such as **3D Gaussian Splatting (3DGS)** and **NeRFs**—to model complex real-world lighting, weather, and dynamic objects. * **3D/4D Scene Simulation:** Work on generating 3D/4D scene reconstructions to simulate driving environments while generating realistic multi-view camera and LiDAR sensor data. * **Validation & Verification (V&V):** Integrate reconstructed environments into the perception testing framework to stress-test object detection, tracking, and edge-case scenarios. * **Multi-Modal Accuracy:** Evaluate alignment and geometric consistency across different sensor modalities within the digital twin. * **Scale & Collaborate:** Turn research prototypes into robust, scalable tooling alongside the Simulation and Perception teams to accelerate production deployment. --- ## Qualifications ### Required Skills * **Education:** Currently pursuing an **MS or PhD** in Computer Science, Electrical Engineering, Mathematics, Statistics, or a related technical field. * **Machine Learning Fundamentals:** Deep understanding of core ML principles and methodologies. * **Deep Learning Frameworks:** Practical experience implementing deep learning models in at least one major framework (**PyTorch, TensorFlow, or JAX**). ### Preferred Skills * Project experience in deep learning for **object detection, motion tracking, or semantic segmentation**. * Hands-on experience with **3D Computer Vision**. * Strong publication record in relevant top-tier venues (*CVPR, ICLR, ICCV, ECCV, NeurIPS, AAAI, SIGGRAPH*). --- ## Compensation & Perks ### Hourly Pay Range * **$19 – $65 per hour** *(Standard hourly rate determined based on degree level [MS vs. PhD], location, academic year, and relevant experience).* ### Perks & Benefits * **Food & Snacks:** Free catered lunches, along with unlimited snacks and beverages. * **Financial Benefits:** Competitive salary and 401(k) plan. * **Growth Opportunities:** Hands-on experience in dynamic, high-impact fields including Neural Rendering, Physical AI, and Autonomous Systems.

## About PlusAI **PlusAI** is a Physical AI company pioneering AI-based virtual driver software for factory-built autonomous trucks. Headquartered in Silicon Valley with operations across the United States and Europe, Plus was named by *Fast Company* as one of the World’s Most Innovative Companies. Plus collaborates with global OEM and logistics partners—including **TRATON GROUP (Scania, MAN, International), Hyundai Motor Company, Iveco Group, Bosch, and DSV**—to accelerate the real-world deployment of next-generation autonomous trucking technology. --- ## About The Role As a **Perception Intern**, you will join Plus’s dynamic perception team to work on real-world autonomous vehicle (AV) challenges. You will work within a state-of-the-art simulation pipeline, collaborating with industry experts to train, fine-tune, and deploy multimodal deep learning models into production. --- ## Key Responsibilities * **Emergency Vehicle Detection:** Develop state-of-the-art technologies to detect emergency vehicles using temporal sequences of camera images. * **Algorithm Development & Benchmarking:** Design, implement, and benchmark cutting-edge deep learning techniques for perception tasks. * **Production Stack Integration:** Collaborate with engineering teams to optimize models and seamlessly integrate developed algorithms into the production perception and AV stack. --- ## Qualifications ### Required Skills * **Education:** Currently pursuing an **MS or PhD** in Computer Science, Electrical Engineering, Robotics, or a related technical field (or equivalent practical experience). * **Software Development:** Strong software design and development experience in **Python**. * **Machine Learning:** Solid background and hands-on experience in **Machine Learning and Deep Learning**. * **Computer Vision:** Practical experience in **3D computer vision**. ### Preferred Skills * Past project experience involving **object detection, motion tracking, or semantic segmentation**. * Advanced background in 3D vision systems. * Publication record in top-tier venues (*CVPR, ICLR, ICCV, ECCV, NeurIPS, AAAI, SIGGRAPH*). --- ## Compensation & Perks ### Hourly Pay Range * **$19 – $65 per hour** *(Standard hourly rates are determined based on degree program [MS vs. PhD], year in school, prior experience, position location, and candidate background).* ### Perks & Benefits * **Food & Snacks:** Catered free lunches, along with unlimited snacks and beverages in the office. * **Financial Benefits:** Highly competitive compensation package, including a **401(k) plan**. * **Professional Development:** Opportunity to build, learn, and grow in a high-impact, future-oriented field of physical AI and autonomous driving.

## About Roadrunner **Roadrunner** is replacing broken legacy CPQ (Configure, Price, Quote) software with a new agentic stack called **PQA (Prompt, Quote, Approve)**, built on a data model designed for modern enterprise pricing. As **Kleiner Perkins' first incubation since Glean**, Roadrunner is led by second-time founders with successful exits and a team of engineers from **Snowflake, Databricks, Citadel, Meta, Robinhood, and Brex**. The team operates fully **in-person in San Francisco**. --- ## What You’ll Do * **End-to-End Product Ownership:** Build production-grade, fast, and reliable systems across Roadrunner’s core platform for Account Executives (AEs). * **Agentic AI Deployment:** Design and ship proactive AI agents that automate quoting, complex deal modeling, and multi-step enterprise workflows. * **Enterprise-Scale Engineering:** Build high-performance workflow engines that power approval flows for multibillion-dollar transactions with sub-millisecond response times. * **Direct Customer Feedback Loops:** Work directly with AEs in the field to understand pain points, iterate rapidly, and continuously ship improvements. ### Example Projects * **Rapid Feature Sprints:** Taking new features from concept to production in two-week sprints, iterating directly with active field users. * **Proactive Quoting Agents:** Building AI agents that surface pricing recommendations and model complex deal structures before an AE requests them. * **High-Throughput Approval Engines:** Designing sub-millisecond approval workflow engines capable of handling enterprise-scale, multibillion-dollar deals. --- ## What You’ll Bring ### Requirements * **Proven Track Record:** Experience building and shipping high-quality software products end-to-end. * **Engineering Fundamentals:** Clear understanding of technical tradeoffs between speed and code quality, and when to optimize for each. * **High Autonomy:** A strong builder's mindset with the ability to identify high-value problems and execute independently. * **Communication:** Clear, direct communication across both technical and business audiences. * **Location:** Based in **San Francisco, CA** (or excited to relocate) for an **in-person** team environment. ### Bonus Points * Hands-on experience building or deploying **AI/LLM systems in production**. * Familiarity with **agentic tooling, LLM evaluation frameworks, or RAG pipelines**. * Background as a founder or early-stage startup engineer with true end-to-end ownership. * Experience engaging directly with enterprise customers or external technical stakeholders. --- ## Benefits & Culture * **Health & Wellness:** Comprehensive medical, dental, and vision benefits for employees and their families. * **In-Office Perks:** Daily lunch, dinner, snacks, and coffee. * **Time Off:** Flexible "take-what-you-need" vacation policy. * **Equal Opportunity:** Committed to diversity and inclusion across all identities and backgrounds.

## About Plenful Fresh off a **$50M Series B** backed by **Notable Capital, Bessemer Venture Partners, TQ Ventures, and Susa/Kivu Ventures**, **Plenful** is building a category-defining AI workflow automation platform for healthcare operations. Built by healthcare operators for healthcare operators, Plenful empowers care teams across 90+ leading health systems, pharmacies, and payors to eliminate manual administrative work, improve compliance, and unlock critical revenue for patient care. --- ## About The Role We're looking for a **Machine Learning Engineer** to design, build, and deploy production-grade ML systems that power the next generation of Plenful's AI platform. You'll own the full end-to-end lifecycle—from experimentation to production deployment and ongoing model performance monitoring—delivering intelligent services that automate healthcare workflows and directly impact customers. --- ## What You'll Do * **Production Model Deployment:** Design, build, and deploy machine learning models and intelligent services using modern **NLP, LLMs, classification, recommendation, and prediction techniques**. * **ML Pipelines & Infrastructure:** Develop scalable ML pipelines for training, evaluation, monitoring, inference, and automated retraining while optimizing latency and infrastructure costs. * **Data & Feature Engineering:** Work with structured and unstructured healthcare datasets to build production-ready features and pipeline integrations. * **Cross-Functional Collaboration:** Partner closely with software engineers, product managers, and data teams to translate customer workflow problems into practical ML solutions. * **Continuous Innovation:** Stay current with advancements in machine learning and AI to bring high-impact, practical innovations into the platform architecture. --- ## Qualifications ### Requirements * **Experience:** **5+ years** of professional software engineering or machine learning engineering experience. * **Education:** Bachelor's degree in Computer Science, Machine Learning, Engineering, Mathematics, or equivalent practical experience. * **Programming & Systems:** Strong programming experience in **Python**, SQL, and containerized deployments (**Docker, Kubernetes**). * **Production ML & Data:** Proven experience building/deploying ML models to production and writing data pipelines using distributed data tools. * **Modern MLOps & LLMOps:** Familiarity with: * *Classical MLOps:* MLflow, Weights & Biases, Airflow * *LLMOps:* LangFuse/LangSmith (tracing), Ragas/Braintrust (evals), vLLM/BentoML (serving) * *Vector DBs:* Pinecone, Weaviate, Qdrant (for RAG pipelines) * **Software Fundamentals:** Strong grasp of cloud platforms (**AWS, GCP, Azure**), REST APIs, version control, testing, and CI/CD pipelines. ### Preferred / Bonus Points * Hands-on experience with **LLMs, Retrieval-Augmented Generation (RAG), embeddings, fine-tuning**, or agentic AI systems. * Experience with semantic search technologies and prompt engineering techniques. * Domain background in **healthcare, pharmacy, or health tech**. * Experience in fast-paced startup or high-growth environments. --- ## Tech Stack * **Languages & ML Frameworks:** Python, PyTorch, TensorFlow, Scikit-learn * **Data & Databases:** SQL, PostgreSQL, Vector Databases (Pinecone, Weaviate, Qdrant) * **DevOps & Cloud:** Docker, Kubernetes, AWS, GitHub Actions, REST APIs * **LLM Ecosystem:** OpenAI APIs, Anthropic APIs, LangFuse, LangSmith, vLLM, BentoML --- ## Location, Culture & Benefits ### Working Model * **Hybrid Model (San Francisco):** Remote-first organization with hub presence in SF and NYC. R&D roles follow a **hybrid schedule requiring 2 days per week in the San Francisco office**. ### Featured Benefits * **Compensation & Equity:** Competitive salary, company equity for all full-time employees, and a 401(k) with a 50% match on the first 3% contributed. * **Health Coverage:** Full medical, dental, and vision insurance coverage with family participation options. * **Time Off & Leave:** Unlimited PTO policy and paid parental leave. * **Stipends & Perks:** * **Daily Lunch:** $100/week lunch stipend * **Wellness:** $100/month wellness stipend * **Commuter:** $100/month commuter stipend for SF and NYC employees

## About Brain Co. **Our Mission:** Rebuild how the world works, to make institutions work better for the people they serve. Brain Co. builds **AI-native operating systems** for large, regulated institutions. Each system is built for a specific industry, powered by agents that push real workflows forward. Underneath it all is **Atlas**, our proprietary platform that keeps customers in control, secure by design, and never locked into one model. We are entering our next phase of production deployments on a national scale with an elite team built from Palantir, Google, Meta, and Nvidia. --- ## The Role You'll join the team that builds and enables agentic workflows across Brain Co. This is a **platform role** at the center of the company's agent-first strategy. You'll build the foundational AI systems used by every engineering, operations, and business team internally, as well as the production systems we deploy to governments, healthcare systems, and critical industries. ### What You’ll Work On * **Own the foundations** of how LLMs are used across the company: cost visibility, data privacy, identity and access, routing, and security posture. * **Design the agent architecture:** Build the sandboxing, orchestration, audit, and guardrail layers that product teams build their agents on. * **Solve hard security & infrastructure problems:** Prompt-injection defenses, scoped credentials, kill switches, multi-tenant isolation (including VM-level pod isolation), and runaway-cost controls. * **Resource & orchestration modeling:** Manage cold-start vs. always-on tradeoffs, credential lifecycles, fan-out/fan-in patterns, and quota enforcement across tenants. * **Make AI-assisted development a first-class platform layer:** Build coding agents that review and ship code, automate CI, and refactor at scale as background workers. * **End-to-end ownership:** Handle architecture, implementation, rollout, observability, on-call duties, and iteration based on internal feedback. --- ## What You’ll Bring ### Required Qualifications * **5+ years** building backend systems in production, with deep proficiency in **Python, TypeScript, Go, or Rust**. * Strong fundamentals in **distributed systems**: consistency, idempotency, retries, failure modes, queueing, and scheduling. * Proven track record of designing and operating APIs, shared infrastructure, internal platforms, or developer-facing services that real users adopted. * Strong intuition for **developer experience**, long-term maintainability, and where to draw abstraction boundaries. * Experience owning services with real uptime and operational responsibility, including observability stacks, incident response, and SLOs. * Cloud-native experience: **Kubernetes, infrastructure-as-code, OAuth/OIDC, and secrets management**. ### Ways You Might Stand Out * Experience building or operating **LLM infrastructure**: gateways, inference systems, prompt routing, cost attribution, or evaluation harnesses. * Experience with **agent frameworks, tool-use systems**, or sandboxed code execution. * Strong security instincts around **prompt injection, supply-chain risk**, and credential scoping for autonomous systems. * Background in multi-tenant, **regulated, or government deployments (HIPAA, SOC2)**. * **Open-source contributions** to AI infrastructure, agent tooling, or developer platforms. --- ## Why Join Us & Benefits Join a culture built on speed, curiosity, and impact, and collaborate with industry veterans from Tesla, DeepMind, Databricks, and more. We offer: * **Competitive salary plus meaningful equity** * **Medical, Dental, and Vision** insurance * **401(k)** plan * **Unlimited PTO** * Daily lunches and commuter benefits

> ⚠️ **Application Deadline:** July 31, 2026 *(Posting may close earlier if filled).* > 📍 **Location / Model:** Hybrid — Onsite 3 days per week in **Raleigh (Research Triangle Park), NC** or **San Jose, CA**. --- ## Meet the Team Our team is part of the **Cisco AI and Automation portfolio**, responsible for the **"Circuit" platform**—the central AI engine that powers productivity and process automation across all of Cisco. We are a rapidly expanding, high-impact group operating at the intersection of applied research and production, delivering performance, reliability, and functional quality for **80,000+ monthly users**. --- ## Your Impact As an **Automation AI Ops Engineer**, you will serve as a modern-day functional and performance evaluation leader, driving the transformation of our regression testing ecosystem. You will move beyond manual processes to implement **AI-driven agents** that generate, validate, and maintain regression suites for both new and legacy features. By leveraging advanced AI coding tools (**Cursor, Copilot, Claude Code**), you will bridge the gap between AI-generated code and production-ready software, ensuring the Circuit platform remains a reliable, scalable vehicle for process automation across Cisco. --- ## Key Responsibilities * **AI-Driven Regression:** Architect and drive AI-based automation strategies to replace manual QA, ensuring comprehensive regression coverage for the entire Circuit platform. * **Modernizing Legacy Features:** Utilize AI agents to modernize existing features, generating and maintaining accurate regression suites for legacy codebases. * **Agentic Workflow Development:** Build and refine workflows where AI agents generate code that passes automated validation and is successfully merged into the main production branch. * **Quality Validation:** Establish robust validation frameworks to ensure that AI-generated artifacts meet Cisco’s high standards for functional quality, security, and performance. * **Cross-Functional Leadership:** Act as a "Team Captain" for automation initiatives, influencing peers and collaborating with engineering teams to integrate automated testing into the core development lifecycle. --- ## Qualifications ### Minimum Qualifications * **Education & Experience:** * Bachelor’s degree with **6+ years** of related experience * Master’s degree with **4+ years** of related experience * PhD with **1+ year** of related experience in Computer Science, AI/ML, or a related technical field * **Automation Expertise:** Proven experience in test automation and regression framework development, with a deep understanding of functional quality assurance. * **AI-Assisted Coding:** Hands-on experience using tools like **GitHub Copilot, Cursor, or Claude Code** to build, validate, and deploy production-level software while auditing auto-generated code for stability and security standards. * **Software Engineering:** Solid conceptual and practical knowledge of the SDLC, including **CI/CD pipelines** and automated testing best practices. * **Critical Thinking:** Strong ability to evaluate technical trade-offs between manual and automated testing strategies. ### Preferred Qualifications * Experience in **AI Ops, MLOps**, or building/fine-tuning custom LLMs. * Proven track record of leading technical projects and mentoring junior engineers. * Experience applying **Design Thinking** principles to AI-driven user experiences. * Hands-on experience with **real-time AI workload management** and **token optimization strategies**. * Experience building and productizing agentic applications with a focus on evaluation and business acceptance. --- ## Compensation & Benefits ### Base Salary Ranges * **Projected Starting Base Salary:** **$199,700 – $254,600** *(Excludes bonuses, equity, or location-based adjustments)* * **New York City Metro Area:** **$199,700 – $292,800** * **Non-Metro NY & Washington State:** **$174,500 – $260,500** ### Featured Benefits * **Health & Financial:** Medical, dental, vision insurance, 401(k) with company matching contribution, restricted stock units (RSUs), and annual incentive bonus program. * **Paid Time Away:** * **Exempt Employees:** Flexible vacation time off program (no defined limit). * **Holidays & Shutdowns:** 10 paid holidays + 1 floating holiday, birthday off, year-end holiday shutdown, and 4 personal wellness days. * **Sick & Care Leave:** 80 hours of sick time provided upon hire (up to 80 hours carryover annually). * **Volunteer Time:** 10 paid days per year for volunteer work. --- ## About Cisco At Cisco, we’ve been innovating for 40 years to connect and protect organizations in the AI era and beyond. We work as a team, collaborating with empathy to make big things happen on a global scale. *Cisco is an Equal Opportunity Employer and an E-Verify employer.*

## Company Overview **Accordion** is the value creation partner for private equity, sitting at the intersection where sponsors and CFOs meet. Through financial consulting rooted in data, technology, and AI, Accordion supports the office of the CFO to drive end-to-end value creation alongside 1,600+ finance & technology experts across 11 global offices. ### Accordion Intelligence Lab The AI Lab is composed of leading software and AI engineers designing agentic-AI solutions. The group builds and operationalizes the AI systems that power Accordion’s consulting capabilities—from agentic architectures and RAG pipelines to evaluation frameworks and production observability. --- ## Role 1: Data Specialist (AI-Augmented Delivery Pods) ### About The Role As a Data Specialist in an AI-augmented delivery pod (combining AI engineering, data science, and product management), you make data work in practice. You move fluidly between messy source systems and production-ready pipelines at high speed, working directly alongside AI engineers and product managers to scope data requirements, diagnose quality issues, and build the data foundations that AI systems depend on. ### What You’ll Do * **Build & Maintain Infrastructure:** Construct data pipelines, models, and integrations that AI systems depend on, from raw source data to production-ready outputs * **Custom ML Modeling:** Scope, design, and write custom ML models tailored to client problems, from feature engineering through evaluation and deployment * **Exploratory Data Analysis:** Explore unfamiliar datasets rapidly to identify structure, surface anomalies, and form clear points of view * **Diagnose Data Quality:** Catch quality issues quickly, quantify their impact, and drive resolution proactively * **Client Engagement & Storytelling:** Run client working sessions (source system walkthroughs, model findings, quality assessments) and translate complex data findings into plain language for CFOs and non-technical stakeholders * **Navigate Enterprise Data Environments:** Work fluently within ERP systems, BI platforms, and financial data infrastructure ### Success in the First 6 Months * Own end-to-end data delivery across multiple AI engagements * Establish a reputation for finding data problems before they impact the team * Run direct client working sessions on data scope, quality, or access with confidence * Demonstrate faster, higher-quality output by weaving AI tools into your daily workflow ### What You’ll Bring * **Full-Stack Data Skills:** Deep expertise in **SQL, Python, machine learning, data modeling, and pipeline development** with messy, real-world source systems * **Data Quality Instincts:** Ability to find issues, quantify impact, and communicate findings proactively * **Fast-Paced Delivery:** Comfort operating in fast-moving, sprint-based consulting environments with shifting requirements * **Client-Facing Communication:** Ability to translate technical findings into plain language and build credibility quickly * **Finance / PE Context:** Familiarity with ERP systems, FP&A data, financial close processes, or portfolio company data infrastructure * **AI Tool Integration:** Daily use of AI tools across exploration, modeling, documentation, and communication --- ## Role 2: AI Engineer (AI-Augmented Delivery Pods) ### About The Role As an AI Engineer in an AI-augmented delivery pod, you design and build the AI systems that power client engagements: agentic workflows, RAG pipelines, evaluation frameworks, and production-grade tools operating in real PE environments. You will work directly with clients and cross-functional pod teammates from day one at sprint pace. ### What You’ll Do * **Agentic Systems & RAG:** Design and build multi-agent systems and RAG pipelines that automate financial workflows for PE-backed portfolio companies * **Full-Stack Ownership:** Own the pipeline from prompt engineering and tool design through deployment and monitoring * **Eval-Driven Development:** Define success metrics and evaluation methodologies *before* building * **Architectural Defense:** Present and defend architectural decisions to technical and non-technical audiences, including CFOs and PE operators * **Observability & Infrastructure:** Build observability and evaluation infrastructure to continuously track and improve production AI system quality ### Success in the First 6 Months * Ship at least one end-to-end agentic solution in a client engagement from scoping through production * Establish evaluation infrastructure for your pod’s systems to measure quality and catch regressions early * Demonstrate materially faster delivery cycles through daily use of AI tools * Build a reputation with clients and teammates as a trusted owner of complex problems ### What You’ll Bring * **Experience:** **3–8+ years** of software engineering experience with a significant focus on AI/ML systems, agent development, or applied LLM engineering * **Production LLM Applications:** Hands-on experience building RAG systems, agentic workflows, tool calling, and multi-agent orchestration * **Tech Stack:** Proficiency in **Python**; experience with frameworks like **LangChain, LangGraph, AutoGen, DSPy**, or equivalents * **Evaluation & Data Engineering:** Strong grasp of eval methodologies (catching regressions, output quality scoring) and data engineering fundamentals (ETL, SQL/NoSQL, vector databases, pipelines) * **AI Tool Mastery:** AI tools woven into your daily workflow with concrete, demonstrable speed improvements ### Nice to Have * Open-source contributions in the AI/ML space * Domain experience in finance or private equity (FP&A, GL data, NetSuite, SAP) * Experience building multi-tenant architectures or tools for cross-client reuse * Prior consulting, professional services, or client-facing delivery experience --- ## Compensation, Location & Key Details * **Base Salary Range:** **$144,500 – $230,000 USD** + significant bonus + benefits * **Location:** Based in any US Accordion office location (Hybrid: flexibility to work remotely 2 days a week; must be local to office) * **Immigration:** Position is **not eligible** for visa sponsorship

## About Human Longevity, Inc. (HLI) **Human Longevity, Inc. (HLI)** is a leader in precision health, combining genomics, advanced imaging, biomarker testing, and artificial intelligence to transform the future of proactive healthcare. Our mission is simple: help people live longer, healthier lives through earlier detection, personalized insights, and data-driven healthcare. --- ## About The Role We believe AI will fundamentally reshape healthcare over the next decade. We are looking for an exceptional **Applied AI Engineer** who can help build that future. This is not a traditional data science role. This is a **hands-on engineering role** focused on building, deploying, and scaling real-world AI applications that create measurable impact across clinical, operational, and member experiences. --- ## What You'll Do * **Build AI Products:** Design, rapidly prototype, and deploy AI-powered applications from concept to production, partnering directly with clinicians and business stakeholders * **Build AI Agents:** Design and deploy autonomous and semi-autonomous AI agents, implementing multi-agent workflows to automate complex healthcare processes * **Develop LLM Applications:** Build state-of-the-art Large Language Model applications and **Retrieval-Augmented Generation (RAG)** systems across structured and unstructured healthcare data * **Engineer AI Infrastructure:** Build scalable data pipelines, AI services, and reusable APIs while improving the reliability, observability, and security of AI systems * **Own End-to-End Delivery:** Take full ownership from idea through production deployment, continuously evaluating and improving AI solutions based on real-world outcomes --- ## Required Qualifications * **Healthcare Experience (Required):** **4+ years** of experience building software, AI, or data-driven applications within healthcare, life sciences, genomics, diagnostics, or clinical environments * **Healthcare Data Experience:** Direct experience working with clinical records, laboratory data, genomics data, imaging reports, or healthcare operational workflows * **AI Engineering Experience:** Proven track record building and deploying production AI applications, with hands-on expertise in **LLMs, RAG, agentic AI systems**, and prompt engineering * **Technical Skills:** Strong proficiency in **Python, SQL**, APIs, and modern database technologies * **Software Architecture:** Familiarity with cloud platforms, distributed systems, testing, and modern software engineering practices --- ## Preferred Qualifications & Tech Stack * Experience with **genomics, precision medicine, longevity medicine**, radiology, or advanced diagnostics * Familiarity with healthcare interoperability standards (**FHIR and HL7**) and healthcare privacy/compliance requirements * Experience building **clinician-facing** or **patient-facing** AI products * Hands-on experience with foundation models (**OpenAI, Anthropic, Gemini**, etc.) * Experience with agent frameworks and orchestration platforms like **LangGraph, LangChain, CrewAI, AutoGen, or PydanticAI** * Familiarity with vector databases and enterprise search systems --- ## Who Thrives Here & Why Join * **You are a builder:** You love shipping products quickly, prefer real-world impact over academic research, and can move from concept to production with minimal oversight * **You love solving messy problems:** You are energized by startup environments, rapid iteration, and the future of AI agents * **Mission-Driven Impact:** You want to work at the cutting-edge intersection of AI, genomics, and diagnostics to advance HLI’s mission of extending healthy human lifespans

## About the Role **Zof AI** is seeking a **Machine Learning Engineer** for the traditional ML discipline: training, fine-tuning, and evaluating models rather than only building on top of them. This role owns datasets, training pipelines, and the applied models that power verification and quality systems inside our products. The ideal candidate is rigorous about evaluation, comfortable owning the full model lifecycle, and pragmatic about when a trained model beats an API call. --- ## Responsibilities * **Train, fine-tune, and evaluate models** for production use * **Build and maintain datasets**, labeling pipelines, and data quality checks * **Own training infrastructure** and experiment tracking * **Develop applied models** that power verification and quality features * **Establish rigorous evaluation** and regression testing for models * **Make architectural decisions** on when to train, when to fine-tune, and when to call an API * **Collaborate** with AI and product engineers to ship models into features * **Own the model lifecycle** from data gathering through production monitoring --- ## Requirements * Hands-on experience **training and fine-tuning models** * Strong grounding in **ML fundamentals and evaluation methodology** * Experience with **Python** and the modern ML stack * Experience building **datasets and data pipelines** * Strong **software engineering discipline** * Clear written and verbal communication * Comfort operating in a fast-moving environment * Evidence of **models shipped to production** or rigorous applied work --- ## Nice to Have * Experience **fine-tuning LLMs** or working with embeddings at scale * Experience with **PyTorch, JAX**, or similar frameworks * Experience with **model serving and inference optimization** * Published work, competition results, or strong open-source contributions in **Machine Learning, Model Training, Fine-Tuning, Datasets, or Evaluation**

## Responsibilities * **Architect and deliver** end-to-end AI-powered solutions for high-tech clients using **GCP-native components** and **Agentic AI frameworks** * Design scalable backend services using **Python (FastAPI, Flask, or Django)** and integrate them with LLMs and autonomous agent frameworks (**LangChain, AutoGen, CrewAI**) * Define solution architectures leveraging GCP services such as **Vertex AI, BigQuery, Cloud Functions, Pub/Sub, Cloud Run, and Firestore** * Lead the design and implementation of frontend applications using **React, Angular, or Vue**, ensuring seamless UX/UI integration with AI capabilities * Collaborate with clients, product managers, and engineering teams to capture business requirements and convert them into technical roadmaps * Drive technical workshops, POCs, and architectural reviews focused on **AI/ML and cloud transformation strategies** * Implement and optimize **vector database integrations** (e.g., Pinecone, Weaviate, FAISS) and embedding pipelines on GCP * Define and enforce best practices in **cloud-native DevOps**, microservices, and CI/CD automation using GCP tools like Cloud Build, Artifact Registry, and Cloud Monitoring * Provide architectural guidance and mentorship to distributed engineering teams following Agile delivery models --- ## Required Skills * **10+ years** of experience in full stack architecture and software engineering, ideally in high-tech product or platform environments * Strong hands-on experience with **Python backend frameworks** (FastAPI, Flask, Django) * Hands-on experience with **Agentic AI frameworks** such as LangChain, AutoGen, or CrewAI * Deep knowledge of **LLM APIs** (OpenAI, Claude, Gemini, Mistral) and prompt engineering strategies * Solid experience with **GCP services** including Vertex AI, BigQuery, Pub/Sub, Cloud Storage, Cloud Functions, and Cloud Run * Familiarity with **vector databases** and **retrieval-augmented generation (RAG)** pipelines * Expertise in **REST, GraphQL, microservices architecture, and API gateways** * Proficient in **Docker, Kubernetes (GKE preferred)**, and CI/CD pipelines using Cloud Build or equivalent * Strong communication skills and ability to engage with both technical and business stakeholders * Experience working with **Agile methodologies** and distributed delivery teams

## About Tessera Labs Tessera Labs is redefining how enterprises adopt and operationalize Artificial Intelligence. Backed by **Foundation Capital** and led by a world-class founding team, we build **multi-agent AI systems** that can automate complex business workflows across platforms like SAP, Salesforce, Workday, Snowflake, MuleSoft, and more. Our mission: Bring real AI automation to the enterprise — with speed, precision, and measurable impact. We move fast, operate with extreme ownership, and build at the frontier of applied AI. --- ## The Role As we build to the next level, we’re looking for a **top-quality AI engineer** with a strong focus on AI agents—someone who knows how to leverage LLMs, both open-source and closed, in combination with complex tool-calling hierarchies and operational patterns. This is an opportunity to build scalable, secure, and high-impact AI technologies for the future of enterprise. We're looking for someone who enjoys building reliable, scalable systems that help teams move faster. If you take pride in cutting-edge AI, value clear ownership, and want to have a meaningful impact in a high-growth, fast-moving environment, you’ll fit right in. --- ## Key Responsibilities * **AI Agent Building (60%):** Develop complex multi-step agentic pipelines around open- and closed-source LLMs. Build tools enabling AIs to interact with critical enterprise software platforms. Ensure AI designs align with business objectives and industry best practices. * **ML Development & Fine-Tuning (30%):** Create data generation and processing pipelines to train and fine-tune custom ML models. Implement and manage training and evaluation pipelines for LLMs. * **Deployment & AI Systems Infrastructure (10%):** Manage AI infrastructure across platforms such as AWS, Azure, or GCP. Deploy inference endpoints and serve AI and LLM technologies as part of our core product infrastructure. --- ## Qualifications ### Required * **Education:** Bachelor’s degree, Master's degree, or Ph.D. in Computer Science, Engineering, or a related field * **Experience:** 5+ years of experience in software engineering, platform engineering, or related roles * Proven expertise in **AI model building and agent development** * Strong background in **ML and LLM-driven systems development** * Experience with **compound AI systems, vector databases, and tool-calling AIs** * Excellent problem-solving skills and the ability to work in a fast-paced, collaborative environment ### Preferred * Experience building and deploying **production-grade, large-scale AI applications** * Familiarity with **AI deployment, evaluation, and monitoring practices** * Strong communication skills with the ability to articulate complex technical concepts to non-technical stakeholders --- ## Compensation & Additional Details * **Compensation Range:** **$150,000 - $230,000** * *Recruitment Notice:* No third party may recruit, solicit candidates, publish job opportunities, use Tessera Labs’ name or branding, or represent that they are acting on behalf of Tessera Labs without prior written authorization. Any such activity conducted without explicit written consent is strictly prohibited.

## Our Mission Our mission is to help small businesses run themselves. We’re starting with **doctors’ offices**, building autonomous systems that handle busywork and complete the workflows that keep the office moving every day. Our team is small, flat, and ambitious. We value craft, intellectual rigor, and direct communication. --- ## About The Role We're hiring an engineer to build the **AI agents** that run doctor's offices. These are production systems handling real money and real patient data for thousands of practices. You'll work across the **full stack**: agent architectures, data pipelines, evals, and the infrastructure that makes it all reliable. --- ## What We're Looking For *You will be a great fit if you…* * Are excited to work with **frontier models** * Engineer for **reliability and correctness**, not just functionality * Diagnose and resolve live production incidents with minimal disruption * **Automate** away repetitive work and build tooling that makes engineering faster and safer * Design schemas and pipelines for **large-scale datasets** to power applied AI * Are comfortable working across databases, caches, proxies, and job orchestration systems --- ## Some Things We've Built * Data pipelines processing **$1B+ in insurance claims** * Systems that eliminate thousands of hours of paperwork every month * A sync engine backed by encrypted SQLite in the browser, enabling **100ms experiences** for healthcare payments and patient ledgers --- ## Technology We Use We invest heavily in productivity. Engineers should have the best tools for the job and the freedom to choose them. * **Backend & Data:** Python (Django, Pydantic AI), Postgres, Redis * **Frontend:** TypeScript, React, Tailwind * **Infrastructure:** Google Cloud Platform (GCP), Vercel * **Workflow & Tools:** Linear, Slack, Notion --- ## Joining Us To start, you'll have a handful of conversations with our team and founders. If there is mutual excitement, we'll invite you to the office where you'll work on a small project and meet the team.