A Snapshot of Your Day
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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

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- 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

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- 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. xhfqzwm

- 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

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- 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