Sr. Applied AI Engineer

Renesas is building applied AI for hardware design and requirement management use-cases. We are looking for a Senior Applied AI Engineer to develop agentic flows that apply to semiconductor design and requirement management workflows.

Responsibilities

• Develop agentic flows using off-the-shelf LLMs and applying modern harnessing methods (tool-calling, planning, skills, sub-agents, MCP servers, CLIs, etc.) to hardware design/requirement management use-cases
• Benchmark models, prompts and approaches for speed, cost and accuracy
• Improve results methodically using techniques with highest impact (meta prompting, fine tuning, RAG, caching, prompt compression, distillation, etc.)
• Build evaluation and benchmarking pipelines
• Participate in the full AI product lifecycle: from early-stage experimentation to deployment and continuous improvement
• Ship features to customers and build production-ready AI systems

Requirements

• Advanced Python skills
• LLM engineering and production deployment experience
• Experience with tool-calling and agent orchestration
• Experience with MCP servers
• Evaluation and benchmarking pipeline development
• Cost/latency optimization techniques

Nice to Have

• LangGraph or other stateful agent frameworks

Location: Lisbon, Portugal. Hybrid: in-office Tuesday-Thursday.