Contract Staff AI Engineer [LLM-Powered RAG & Agents] (24 months)

This is a 2 year contract position.

Your role
Key responsibilities in your new role

The AI Engineer will serve as a key technical team member specializing in Agentic RAG, Multi-Agent Systems, GenAI Engineering, and Software Engineering.

The primary responsibilities of this role include:

• Act as a technical expert in Agentic RAG, Agents & Agent Orchestration, Agent Harness Engineering and driving the exploration and adoption of emerging AI capabilities.
• Prototype and develop GenAI-powered solutions across web, desktop, and digital workplace platforms, leveraging built-in AI capabilities and modern agent frameworks to accelerate business value realization.
• Design, implement, and optimize agent ecosystems, including agent workflows, multi-agent collaboration, tool integration, memory management, retrieval systems, and orchestration patterns to support complex enterprise use cases.
• Leverage on Agent Harness platforms and evaluation frameworks to enable experimentation, benchmarking, observability, guardrails, testing, and continuous improvement of AI agents throughout their lifecycle.
• Drive research, innovation, and proof-of-concept activities to evaluate new AI technologies, frameworks, and agent architectures, translating findings into scalable and reusable enterprise solutions.

Your profile
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 Degree in Computer Science/Mathematics/ Statistics or equivalent.

• Profile/Experience:

  • Exposure to Generative AI, AI Agents, Agentic RAG, and Large Language Models (LLMs), with knowledge of enterprise AI platforms such as Gemini Enterprise and Gemini Agent Platform.
  • Familiarity with AI Agent frameworks (e.g., LangGraph, Google ADK) and GenAI protocols (e.g., MCP, A2A) for building, integrating, and orchestrating intelligent agent ecosystems.
  • Understanding of Agent Orchestration, Agent Harness, evaluation frameworks, observability, and agent lifecycle management, including integration with enterprise systems and knowledge sources.
  • Experience with Software Engineering best practices, including Python development, Git, CI/CD pipelines, API integration, and RESTful services, to support scalable AI solution development.
  • Good knowledge of Kubernetes/OpenShift for deployment and operations; experience with React, JavaScript, HTML, and CSS for building AI-powered web applications and agent user interfaces is an advantage.

• Other Skills / Attributes:

  • Highly motivated, structured and methodical with high degree of self-initiative
  • Team player with good cross-cultural skills to work in an international team
  • Customer and result-oriented

#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.

We strive to create the best Infineon for everyone by embracing diversity and inclusion. We welcome applicants for who they are and offer a workplace built on trust, openness, respect and equal opportunity.

Our hiring decisions are based on skills and experience. Even if you don’t meet every requirement, we encourage you to apply.

Please let your recruiter know if you need any accommodations during the interview process.

Learn more about our various contact channels and about Diversity & Inclusion at Infineon.

Sherlene Ong