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Senior AI Engineer in Hofheim am Taunus, Deutschland

Confidential Company

  • RemoteArbeiten von überall

Hofheim am Taunus, Deutschland

We are looking for a hands-on Senior AI Engineer with GenAI experience who can move fast, test aggressively and scale what works. You will own the end-to-end solution, work closely with leadership and play a key role in our next phase of growth.

Your responsibilities:

  • Implement agent features and integrations in production codebases – APIs, websockets, tool-calling workflows – following established architecture patterns.

  • Adapt and integrate pre-trained LLMs and embeddings into applications (prompting, fine-tuning, RAG pipelines) and keep them maintainable.

  • Build self-verifying agent workflows with chain verifications, evaluator models and human looped escalation paths that make agents trustworthy in enterprise environments.

  • Create comprehensive agent observability, full audit trails, structured logging, performance metrics – so the team always has clear agent visibility.

  • Ship autonomous agents making real business decisions with high 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 we are looking for:

  • 6 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.

  • Hands-on experience with LLM providers and frameworks: Azure OpenAI, AWS Bedrock, Hugging Face, LangChain/LangGraph.

  • Deep expertise in agent frameworks combined with the ability to build custom orchestration.

  • University degree or equivalent experience in Computer Science, Engineering, or a related field.

This is a fully remote position which can be based globally given a +-4 hour time difference within the CET region.

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