Senior AI Agent Developer — Production-Ready Enterprise AI (Remote)

Siemens Gas and Power GmbH & Co. KG; Tres Cantos; Presencial; EUR 90.000 - 130.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Meal allowance

International work

Health insurance

Remote work within country

Pontes days off

Descripción de la vacante

Siemens Energy's AI Factory seeks a Senior AI Agent Developer to implement production-grade agent features and integrations—APIs, websockets, and tool-calling workflows—within enterprise-grade architectures. You will adapt LLMs, embeddings, and evaluation chains to deliver trustworthy, observable agent systems at scale.

You will work with LangGraph, AutoGen, and CrewAI frameworks, ensuring robust orchestration and maintainable code across multi-cloud environments, contributing to decarbonization

Formación

• 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.

Responsabilidades

• 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.

Conocimientos

Python

GenAI

Production deployment

AWS

LLM frameworks

LangGraph

AutoGen

CrewAI

Educación

University degree in Computer Science/Engineering

Herramientas

AWS CDK

Serverless

Bedrock

Azure OpenAI

Hugging Face

LangChain

LangGraph

Descripción del empleo

Siemens Energy's AI Factory seeks a Senior AI Agent Developer to implement production-grade agent features and integrations—APIs, websockets, and tool-calling workflows—within enterprise-grade architectures. You will adapt LLMs, embeddings, and evaluation chains to deliver trustworthy, observable agent systems at scale.

You will work with LangGraph, AutoGen, and CrewAI frameworks, ensuring robust orchestration and maintainable code across multi-cloud environments, contributing to decarbonization