Tech Lead AI Engineering (mwd)

For a young company in the rapidly growing AI implementation market we are looking for a Tech Lead starting as soon as possible ideally in early November. The company runs LLM-based systems in production: content generation pipelines retrieval-augmented generation (RAG) on internal documents and automated workflows closely integrated with their business systems. The entire stack is built on TypeScript and .

These systems are already live. As Tech Lead you take ownership of them increase their reliability and quality and expand them to new use cases while being technically responsible for a team. The role brings together applied LLM engineering and solid backend engineering in TypeScript. Training or fine-tuning foundation models is not part of the job.

Stack: TypeScript Postgres with pgvector Docker Azure Anthropic and OpenAI APIs Vercel AI SDK.

• Technical responsibility for the team including architecture decisions and code reviews

• Technical guidance for the team and point of contact for non-technical colleagues

• Take over and maintain the existing LLM pipelines: review the current architecture identify failure modes prioritise fixes and refactor and extend the systems without disrupting production

• Own the RAG systems from end to end: document ingestion and parsing chunking indexing hybrid retrieval (BM25 and vector) query rewriting reranking and grounded generation with citations

• Implement and maintain chunk-level access control index freshness and tenant isolation across all retrieval systems

• Develop content generation pipelines that deliver consistent quality at scale including human review steps

• Build and run automated workflows against internal and third-party business systems (ERP CRM email internal APIs) with durable and idempotent execution retry and dead-letter handling and approval steps for irreversible actions

• Set up an evaluation framework for systems that currently run without one: golden datasets based on real production failures retrieval metrics and more

• Implement observability along the entire request path

• Optimise cost and latency through prompt caching batching model routing and smaller models where it makes sense

• Identify where deterministic logic is the better choice and implement it accordingly

• Work directly with non-technical colleagues to define and validate automated processes

• Professional experience with at least one LLM-based system in production including responsibility for its operation and incident handling

• Advanced TypeScript and skills: strict typing of non-deterministic model output async and concurrency patterns streaming responses structured error handling

• Production experience with : App Router route handlers server actions streaming to the client

• Proven track record of taking over and improving existing codebases under production traffic

• Hands-on retrieval expertise: hybrid search choosing embedding models cross-encoder reranking metadata filtering permission-aware retrieval and structured diagnosis of poor retrieval quality

• Experience working with real-world documents: PDFs with tables scanned material DOCX HTML including layout-aware parsing OCR and evidence-based chunking

• Structured outputs and tool calling are part of your daily work: JSON Schema Zod or similar runtime validation function calling handling malformed or partial output context window management

• Experience designing and running LLM evaluations

• Experience with LLM tracing and evaluation tools in a TypeScript codebase (e.g. Braintrust Langfuse Promptfoo OpenTelemetry or Arize Phoenix)

• Familiarity with Postgres including vector search (pgvector or a comparable vector store) Docker Git CI/CD and at least one major cloud platform

• Practical experience with the Anthropic and/or OpenAI TypeScript SDKs

• Confident communication in English German is a plus

• Durable workflow execution for long-running unattended processes (Temporal Inngest or similar)

• Agent orchestration in production tool calling recovery multi-step workflows (Vercel AI SDK LangGraph Mastra Claude Agent SDK MCP TypeScript SDK)

• Experience integrating enterprise systems such as ERP or CRM platforms like SAP

• Security and data protection in LLM systems defences against prompt injection and data exfiltration PII handling GDPR-compliant design EU-hosted or self-hosted inference

• Structured or graph-based retrieval for entity-heavy dataexperience

• Migrating live pipelines to a new model embedding model or index without loss of quality

• Azure DevOps Pipelines Repos and Boards

• Hybrid setup with 2 office days per week in a bright office in Colognes Belgian Quarter (with two balconies and the best view of the city ;))

• AI implementation the growth market of the coming years

• Trust-based working hours with compensation for overtime

• Lots of creative freedom and space for your own ideas

• Continuous professional strategic and technological development

• An open feedback culture transparent communication and short decision-making paths

• Regular team events and workations

• Salary from 60000 gross per year with room for more depending on experience

The company is an international team and is actively committed to an inclusive workplace. Applications from people of every gender and identity are welcome regardless of origin age religion sexual orientation or disability. As women remain underrepresented in tech women are especially encouraged to apply.

We look forward to receiving your application!