A Snapshot of Your Day

As a Senior AI Agent Developer at Siemens Energy’s AI Factory, you’ll implement agent features and integrations that go live in production – APIs, tool‑calling workflows, multi‑step reasoning chains – inside a company whose technologies help generate an estimated one‑sixth of the world’s electricity. Your code won’t sit in a notebook. It will triage engineering emails, assist project managers on multi‑billion‑euro installations, and help field service teams maintain gas turbines across continents. This is a rare opportunity to truly transform the workplace with AI for thousands of employees and help support them manage the increased workload resulting from record‑breaking business growth – you’ll help prove that a company with over 150 years of heritage can ship AI faster than most startups.

How You’ll Make An Impact

- Implement agent features and integrations in production codebases – APIs, websockets, tool‑calling workflows – following established architecture patterns; no low‑code platforms.
- Adapt and integrate pre‑trained LLMs and embeddings into applications (prompting, fine‑tuning, RAG pipelines) and keep them maintainable, testable, and observable over time.
- Build self‑verifying agent workflows with chain‑of‑verification, evaluator models, and human‑in‑the‑loop escalation paths that make agents trustworthy in enterprise environments.
- Create comprehensive agent observability – full audit trails, structured logging,



performance metrics – so the team always knows what agents are doing and why.
- Ship autonomous agents making real business decisions with 95%+ reliability, optimising the balance between reasoning depth, latency, and cost.
- Embed with product teams to evolve agent capabilities based on real usage data, closing the loop between what’s built and what actually works.

What You Bring

- 6–9 years in software engineering with 3+ years in GenAI, building and shipping production systems in enterprise settings.
- Strong proficiency in Python with production deployment experience – you write code that other engineers can maintain, test, and extend.
- Solid AWS knowledge (CDK, Serverless, Bedrock) with production deployment experience; familiarity with other cloud platforms is a plus.
- Hands‑on experience with LLM providers and frameworks: Azure OpenAI, AWS Bedrock, Hugging Face, LangChain/LangGraph – and the judgment to know when to use a framework vs. build custom.
- Deep expertise in agent frameworks (LangGraph, AutoGen, CrewAI) combined with the ability to build custom orchestration when off‑the‑shelf doesn’t cut it.
- University degree or equivalent experience in Computer Science, Engineering, or a related field.

Rewards/Benefits

- Competitive salary and meal allowance
- Fair compensation for international work
- Health insurance coverage
- Remote work permitted within the country
- Additional 5 “Pontes” days off and Birthday off if it falls on a weekday, when not abroad (only applies for Portugal)
- Among others

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📌 Senior AI Agent Developer (Madrid)
🏢 Siemens Energy
📍 Madrid