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# Senior AI Engineer

- **Company:** Company Gmbh
- **Location:** Hofheim am Taunus, Germany (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** LangGraph Framework, Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Python (Programming Language), OpenAI, Software Deployment, Software Engineering, WebSocket, Data Logging, LangChain, Retrieval-Augmented Generation, Large Language Models, Agentic-AI, Information Technology, HuggingFace, Serverless Computing
- **Published:** October 15, 2026
- **Apply:** https://www.adzuna.de/details/5926884675

## About the Role

* 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.

## Description

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., * 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.