AI Infra jobs in AI & developer tooling

> 📍 **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:** 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.

## About the Role We're partnering with a global technology company to build a new **AI engineering team** in the Bay Area. This is a greenfield opportunity to build production AI systems from the ground up, working directly with senior technical leadership on products deployed at global scale. --- ## What You'll Do * **Build production LLM applications**, AI agents, RAG pipelines, and autonomous workflows * **Develop AI infrastructure**, Skills, MCP servers, and internal developer tooling * **Evaluate frontier models** and build AI evaluation and benchmarking frameworks * Help define **AI engineering best practices** across the organization --- ## What We're Looking For * **5+ years** in software engineering with proven experience shipping production AI applications * Strong **Python** skills and deep experience with **LLMs, RAG, agent frameworks, and tool calling** * Heavy user of AI coding tools such as **Claude Code, Cursor, or Copilot** * Hands-on experience building **AI agents and MCP servers** * **Self-starter** with personal AI projects, public technical content, or open-source contributions --- ## Requirements * Based in (or willing to relocate to) the **San Francisco Bay Area** * Fluent in English (**Mandarin preferred**) * **Work authorization** in the US --- ## Compensation * **Total Compensation (TC):** Up to **~$1M+** *If you're building on the frontier of AI engineering and want to shape the next generation of production AI systems, I'd be happy to share more.*

## About AMD At AMD, our mission is to build great products that accelerate next-generation computing experiences—from **AI and data centers**, to PCs, gaming, and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity, and a shared passion to create something extraordinary. When you join AMD, you’ll discover the real differentiator is our culture. We push the limits of innovation to solve the world’s most important challenges—striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. --- ## The Role & The Person We are hiring AI Engineers to build **recursive self-improvement systems for compute**. This role sits at the intersection of AI systems, performance engineering, hardware-aware optimization, and agentic software development. You will help build systems where AI proposes improvements, verifies correctness, measures impact, learns from failures, and improves the next generation of compute workloads and platforms. **You are a hands-on engineer** who can move between modern AI methods, systems performance, and hardware-aware workflows. You are comfortable with fast-moving AI research, but you care most about measurable outcomes: correctness, speed, efficiency, quality, reproducibility, and engineering leverage. You can collaborate with research scientists, hardware engineers, software engineers, and external technical partners while keeping an end-to-end loop working. --- ## Key Responsibilities * **Build agentic and learning-driven optimization loops** for compute workloads and hardware engineering workflows * **Develop automated systems** that generate, compile, test, benchmark, profile, and iterate on candidate improvements with minimal human intervention * **Convert high-value engineering workflows** into verifiable tasks with clear graders, harnesses, metrics, and failure feedback * **Collaborate with AI researchers** on reward design, reward shaping, reward hacking analysis, long-horizon optimization, and model improvement loops * **Design feedback systems** that accumulate useful data from successful attempts, failed attempts, profiler traces, benchmark results, and validation logs * **Improve iteration speed** through staged validation, caching, parallel execution, proxy metrics, and faster feedback paths * **Build reusable tools and patterns** that can generalize across multiple compute and hardware optimization domains * **Mentor other engineers** and help set technical direction for self-improving AI systems for compute --- ## Technical Focus Areas * **AI-assisted program optimization**, code generation, debugging, and automated repair * **GPU and CPU performance engineering**, including kernels, libraries, compilers, profilers, and benchmark-driven optimization * **Agentic workflows** that use tools, tests, simulators, profilers, and structured feedback to improve over time * **Reinforcement learning**, post-training, reward modeling, and evaluation methods for engineering tasks * **Hardware-aware optimization** where correctness, latency, throughput, area, power, timing, or resource usage may all matter * **Experiment platforms**, leaderboards, dashboards, and data pipelines for reproducible comparison and continuous improvement --- ## Qualifications & Experience ### Education * **Bachelor's degree** in Computer Science, Computer Engineering, Electrical Engineering, Machine Learning, or a related field (or equivalent practical experience) * **Master's preferred; PhD is a plus**, especially in AI systems, reinforcement learning, compilers, GPU computing, or hardware/software co-design ### Required Skills * Strong software engineering experience in **Python** and at least one systems language such as **C++, C, HIP, or CUDA** * Experience building **AI, ML, agentic, optimization, or automation systems** that are evaluated with objective metrics * Ability to design reliable experiment loops, benchmark harnesses, validation workflows, and correctness/performance evaluation pipelines * Strong technical judgment in debugging, profiling, root-cause analysis, and performance-oriented iteration * Clear communication skills and ability to work across AI research, hardware, software, and partner-facing teams ### Preferred Experience * Experience with **GPU kernels, ROCm/HIP, CUDA, Triton, PyTorch, JAX, TensorFlow**, or distributed training/inference systems * Experience with **reinforcement learning**, post-training, reward modeling, automated program optimization, or agentic coding systems * Familiarity with **CPU performance engineering**, compiler optimization, benchmarking, profiling, or math libraries * Exposure to hardware design, simulation, formal verification, performance/power/area analysis, or hardware/software co-design * Experience building production-quality evaluation platforms, experiment tracking, dashboards, or leaderboards * Publications, open-source contributions, or shipped systems in AI systems, GPU computing, compilers, RL, or hardware/software co-design are a plus --- ## Location & Additional Details * **Location:** Santa Clara, CA * **Benefits:** Comprehensive benefits are offered; see *AMD benefits at a glance* for details. * **Equal Opportunity Employer:** AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process. * **AI in Recruitment:** AMD may use Artificial Intelligence to help screen, assess, or select applicants for this position in accordance with AMD’s “Responsible AI Policy.”

## About the Job We are working with a company at the forefront of innovation, developing **cutting-edge AI systems and solutions** that redefine what's possible in the digital landscape. With a strong commitment to advancing artificial intelligence, this organisation consistently delivers high-impact products and services. --- ## The Role * **Collaborate** with internal AI product management and development teams to enhance AI systems * **Streamline AI systems**, contributing to significant improvements in efficiency and capability * **Design and implement** advanced AI agentic solutions from conceptual business and technical requirements * Develop comprehensive **technical specifications, detailed designs, and essential architecture artifacts** * Translate complex business problems into clear, logical tasks for effective AI solution development * Analyse existing codebases to understand implementation intricacies and identify areas for **optimisation** --- ## What You'll Need * Proven experience in AI development, including **Agentic AI and Azure OpenAI** * Expertise with **Large Language Models (LLM), Machine Learning (ML), Retrieval-Augmented Generation (RAG)**, and human-in-the-loop workflows * Proficiency in **.Net (C#, VB.Net), HTML, and JavaScript** * Familiarity with advanced automation tools such as **OCR, IDP, and AI/ML technologies** * Exceptional written and oral communication skills for technical and non-technical audiences * Prior experience managing multiple tasks and adapting to changing priorities in a fast-paced environment --- ## What's On Offer * An opportunity to work on **industry-leading AI solutions** and cutting-edge technologies * A collaborative environment focused on **innovation and continuous improvement** * Engagement with a forward-thinking team dedicated to advancing AI capabilities * The chance to make a significant impact on the development of **next-generation AI systems** *Apply via Haystack today!*

## About Jobright Jobright is your **personal AI job search agent** that transforms the way you do job search from solo, time-consuming efforts to a fast, expert-guided journey, simplifying every job search step and accelerating your route to the best job outcomes. As an **AI Engineer, Entry Level**, you will contribute to the development, evaluation, and deployment of AI-powered features used by real job seekers. --- ## Why Join Us * Build **real, production AI agents** used by real users * **High ownership and impact** * Work at the intersection of **AI, agents, and product** * Shape how people experience AI-driven job search --- ## Responsibilities * **Implement AI and machine-learning features** for search, recommendations, and personalization * Build data preparation, **evaluation, and experimentation workflows** * Work with prompts, **embeddings, retrieval, structured outputs, and LLM APIs** * Integrate AI capabilities into reliable product and backend systems * Investigate model quality, latency, and failure cases * Collaborate with engineering, product, and data teams in a **remote environment** --- ## Qualifications ### Required * **Bachelor's or master's degree** in Computer Science, Artificial Intelligence, Machine Learning, or a related field * Strong **Python** programming skills * Understanding of **machine learning, NLP, or information retrieval** fundamentals * Familiarity with **APIs, Git, debugging**, and basic software engineering practices * Ability to **work remotely within the United States** ### Preferred * Experience with **LLM applications, RAG, embeddings**, or model evaluation * Familiarity with **PyTorch, TensorFlow, scikit-learn**, or cloud AI services * Experience building **AI prototypes or data pipelines** * Interest in **AI agents, recommendation systems, or search technology** --- ## Featured Benefits * **Medical insurance** * **Vision insurance** * **Dental insurance** * **401(k)**