For a young company in the fast-growing AI implementation market we are looking for a Tech Lead, starting end of October or early November.
The company operates LLM-based systems in production: content generation pipelines, retrieval-augmented generation (RAG) over internal documents, and automated workflows deeply integrated with their business systems.
The stack is TypeScript and Next.
js end to end.
These systems are already live.
As Tech Lead you take ownership of them, improve their reliability and quality, and extend them to new use cases, while taking technical responsibility for a team.
The role combines applied LLM engineering with solid backend engineering in TypeScript.
It does not involve training or fine-tuning foundation models.
Stack: TypeScript, Next.
js, Postgres with pgvector, Docker, Azure, Anthropic and OpenAI APIs, Vercel AI SDK.
Tasks Technical responsibility for a team: architecture decisions and code reviews Technical guidance and interface to non-technical colleagues Take over and maintain the existing LLM pipelines: assess the current architecture, identify failure modes, prioritise fixes, and refactor and extend without disrupting production Own the RAG systems end to end: document ingestion and parsing, chunking, indexing, hybrid retrieval (BM25 and vector), query rewriting, reranking, grounded generation with citations Implement and maintain chunk-level access control, index freshness and tenant isolation across retrieval systems Develop content generation pipelines that deliver consistent quality at volume, including human review steps Build and operate 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 Establish an evaluation framework for systems currently running without one: golden datasets derived from observed production failures, retrieval metrics and mor.