WeAreIn to create tiny chips and big careers. The future won’t wait... why should you? Join us and make a difference. Whether you join as a student, intern, or trainee, you'll be part of something real - real projects, real impact, and real opportunities to grow. Are you in? Your Role Key responsibilities in your new role: You’ll work on Agentic AI projects--building and evaluating LLM-powered agents that plan, reason, use tools, and act in dynamic environments--without being assigned to a single team. You will work hands-on with Machine Learning, big data, and modern AI orchestration to ship real features and experiments. Expect a diverse, inclusive, and collaborative setting with mentorship, hack days, and competitive pay. Design, implement, and scale agentic LLM solutions: Focus on planning, memory, tool-use, multi-step reasoning, and retrieval-augmented generation (RAG) with safety guardrails Expand your horizons: Prototype autonomous agents that integrate with APIs, vector databases, and knowledge bases to accomplish real tasks across user workflows Data is everything: Collect, clean, curate, and analyze datasets, as well as instrument telemetry to drive iterative improvements in reliability, robustness, and latency Experience research: Participate in the full lifecycle of ML/LLM systems, including evaluation, optimization, refinement, and product ionization (experiments, A/B tests, benchmarking, and evaluation harnesses) Reliable work: Develop dashboards and simple UIs to monitor agents, visualize experiments, and support user feedback loops Lifelong learning: Explore and experiment with agentic architecture, LLM orchestration frameworks (e.g., LangChain/LlamaIndex), embeddings, and retrieval systems to foster innovation Being strong together: Collaborate with mentors and cross-functional stakeholders, while engaging in innovation events, demo sessions, and hack days to share learnings and spark new ideas Your Profile Qualifications and skills to help you succeed: Study field: Currently enrolled in a master’s degree (or equivalent) in Computer Science, Artificial Intelligence, Data Science, or related fields Personality: Meticulous and inquisitive nature with high professional integrity and maturity Way of working: Self-motivated team player who can work independently and communicate clearly Skills: Solid programming skills in Python and familiarity with Machine Learning fundamentals; curiosity about LLMs and agentic architecture Technical abilities: Proficiency in problem solving, prompt/design experimentation, and AI algorithm research; comfort with data analysis on big data Knowledge: Resourcefulness in learning new tools and frameworks: embeddings and vector databases, LLM orchestration (e.g., LangChain), data tools (Pandas/Spark), and experimentation Experience: Knowledge in reinforcement learning or planning, knowledge bases, Docker/Kubernetes, and cloud platforms would be a plusPlease send us your CV in English so we can get to know you better. Contact: Ana Pacheco #WeAreIn for driving decarbonization and digitalization. As a global leader in semiconductor solutions in power systems and IoT, Infineon enables game-changing solutions for green and efficient energy, clean and safe mobility, as well as smart and secure IoT. Together, we drive innovation and customer success, while caring for our people and empowering them to reach ambitious goals. Be a part of making life easier, safer and greener. Are you in? We are on a journey to create the best Infineon for everyone. This means we embrace diversity and inclusion and welcome everyone for who they are. At Infineon, we offer a working environment characterized by trust, openness, respect and tolerance and are committed to give all applicants and employees equal opportunities. We base our recruiting decisions on the applicant´s experience and skills. Learn more about our various contact channels. We look forward to receiving your resume, even if you do not entirely meet all the requirements of the job posting. Please let your recruiter know if they need to pay special attention to something in order to enable your participation in the interview process. Click here for more information about Diversity & Inclusion at Infineon. Driving decarbonization and digitalization. Together.
