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Infineon Technologies AG is seeking an AI Engineer to act as a technical expert in AI/ML, GenAI, and Agentic AI. You will design and deliver AI-powered web and enterprise solutions, turning proof-of-concepts into scalable, secure products.
You will develop AI applications and GenAI platforms, including AI coworkers and knowledge worker agents, while maintaining AI infrastructure and guiding best practices with observability, tracing, and debugging to ensure production readiness.
Key responsibilities in your new role
The AI Engineer will serve as a technical expert in the fields of AIML, NLP, GenAI & deeper understanding and experience in Software Engineering.
The primary responsibilities of this role will include:
Act as a technical expert in AI/ML, Generative AI, and Agentic AI, providing engineering, and operational guidance for enterprise AI initiatives.
Design, prototype, and deliver AI-powered web, desktop, and enterprise solutions, transforming proof-of-concepts into scalable, secure, and production-ready products.
Develop and maintain AI applications, GenAI platforms, and agent-based solutions, including AI coworkers and knowledge worker agents that enhance business productivity.
Operate and continuously improve AI solutions through monitoring, observability, troubleshooting, performance optimization, bug fixing, and change implementation.
Support and maintain AI infrastructure, tools, and platforms, while providing technical assistance and guidance to users and stakeholders on AI-related capabilities and best practices.
Qualifications and skills to help you succeed
This is a 24 months contract under 3rd party payroll partner and entitled to benefits according to partner company.
Masters or Bachelors Degree in Computer Science/Mathematics/Statistics or equivalent.
Profile/Experience:
Minimum of 3 years of relevant work experience in AI, including at least 2 years focusing on GenAI (e.g. RAG, Agents).
Strong experience with AI agent frameworks and GenAI protocols, including LangGraph, Google ADK, Model Context Protocol (MCP), Agent-to-Agent (A2A) communication, and related ecosystem components.
Good understanding of GenAI application evaluation, tracing, observability, monitoring, and debugging, ensuring reliable, scalable, and production-ready AI solutions.
3+ years of software engineering experience with solid knowledge of the full software development lifecycle, including CI/CD, DevOps practices, automation, and Python-based development.
Strong hands-on experience in developing modern web applications using React and backend services using Python frameworks such as FastAPI and Flask, with deployment and operational experience on Kubernetes/OpenShift platforms.
Other Skills / Attributes:
Highly motivated, structured and methodical with high degree of self-initiative
Team player with good cross-cultural skills to work in international team
Customer and result-oriented