Full Stack jobs in AI & developer tooling

> 📍 **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?"*

## 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

## 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

## 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.

## 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.

## Who We Are At **Preferred Travel Group**, we champion the power of travel to inspire meaningful connections and enrich lives around the world. As a global family of brands and programs representing the finest independent hotels and resorts, we are united by a shared belief in authenticity, collaboration, and the value of independent spirit. Our culture reflects our ideology in action: people first, relationships at the center, and a commitment to creating lasting impact for our partners, our global community, and one another. When you join Preferred, you become part of a purpose-driven organization where ideas are welcomed, growth is encouraged, and your work contributes to shaping the future of travel. --- ## Why This Role Matters We are looking to hire a curious, hands-on, innovative, and results-oriented **AI Automation Engineer** who enjoys solving complex problems and transforming ideas into practical business solutions. This role translates business processes into **AI-driven agents and automated workflows** that integrate cleanly into enterprise systems, freeing associates to perform other tasks. As Preferred continues to expand its use of AI and intelligent automation, this position will play a critical role in identifying opportunities to streamline operations, improve efficiency, and accelerate innovation across the business. Success in this role comes from being able to take a proof of concept developed by others and quickly turn it into **production-ready, maintainable solutions**. Success also requires the ability to balance speed with quality, simplify complex technical concepts, and implement reliable AI-driven automation that can be adopted and scaled across the organization. The individual will consistently deliver solutions that are robust, well-documented, and aligned with business goals while maintaining high standards of engineering excellence. --- ## What You’ll Deliver ### AI Agents & Intelligent Automation (Primary Focus) * **Design, build, and operate AI agents** that perform multi-step reasoning, decision-making, and task execution across enterprise systems * Develop agent-based solutions using **LLMs, tools/function calling, memory, and orchestration frameworks** to automate end-to-end business processes ### Technical Leadership & Collaboration * Partner with business stakeholders to identify high-impact automation opportunities and translate them into AI agent designs * Provide **technical leadership, design guidance, and mentorship** to engineers working on AI and automation initiatives * Contribute to architectural standards, best practices, and documentation for agent-based AI systems --- ## What You’ll Bring To The Team * **Bachelor’s degree** in Computer Science, Engineering, Information Systems, or equivalent practical experience * Strong experience with **API-driven system integration and service-based architectures** in production environments * Hands-on experience building and operating **AI-driven automation or agent-based systems** * Solid understanding of software engineering best practices, **version control, testing, and CI/CD** * Demonstrated ability to deliver automation with measurable business impact * Experience with **Generative AI, LLM-based agents, tool/function calling, and orchestration frameworks** * Experience integrating AI solutions with enterprise applications and workflows * Familiarity with **monitoring, observability, and cost management** for AI systems --- ## What Would Make You Stand Out * Experience with **Microsoft AI products** (such as **Copilot** and **AI Foundry**) * Strong analytical skills with a bias toward **quantitative evaluation** of outcomes --- ## Work Culture & Environment ### Where You'll Thrive * You are comfortable operating in a rapidly evolving technology landscape, thrive on continuous learning, and bring a proactive approach to identifying opportunities for automation and efficiency * You are naturally curious, innovative, and energized by applying AI and automation to solve real business challenges * You enjoy taking ideas from concept to reality, building scalable solutions that deliver meaningful business impact ### Our Working Culture (Hybrid In-Office) With our in-office philosophy, our associates are expected to be **in the office at least three days per week**, supporting a healthy balance between in-person collaboration and flexible remote work. We take pride in our vibrant and inclusive culture, which thrives on meaningful connection, shared purpose, and cross-functional teamwork. In-office engagement plays a vital role in fostering spontaneous collaboration, accelerating innovation, and strengthening relationships across teams. It also provides valuable opportunities for mentorship, professional development, and a deeper sense of community. *(Please note: While the current expectation is a minimum of three days per week in the office, this may evolve over time in alignment with business needs and our continued commitment to culture-building.)* --- ## Compensation * **Salary Range:** **$170,000 - $190,000** * Actual compensation within this range will be determined by multiple factors including candidate experience and expertise. *Disclaimer - This description reflects the general nature and level of the role. It is not intended to be an exhaustive list of responsibilities or requirements.*