Tech Lead AI Engineering (m/w/d)

Nejo · Colognesenior

In short

▸Liderazgo técnico en sistemas de IA basados en LLM en producción con TypeScript y Next.js.
▸Gestión y mejora de pipelines de generación de contenido, RAG y flujos automatizados con integración a ERP/CRM.
▸Destacado: no se entrena ni fine-tunea modelos; se enfoca en ingeniería aplicada de LLM en entornos reales.

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What they ask for

✓Experiencia comprobada con sistemas de LLM en producción, incluyendo operación e incidentes.
✓Dominio avanzado de TypeScript y Node.js: tipado estricto, concurrencia, streaming, manejo de errores.
✓Experiencia en Next.js en producción: App Router, route handlers, server actions, streaming al cliente.
✓Habilidades probadas en recuperación híbrida (BM25 + vectores), indexación y diagnóstico de fallos en RAG.
✓Experiencia con procesamiento de documentos reales: PDFs con tablas, OCR, DOCX, HTML, chunking basado en evidencia.
✓Diseño y ejecución de evaluaciones de LLM, con herramientas como Langfuse, Promptfoo o OpenTelemetry.

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TypeScriptNext.jsNode.jsPostgrespgvectorDockerAzureAnthropic APIOpenAI APIVercel AI SDK

Who should you write to at Nejo?

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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. js, Postgres with pgvector, Docker, Azure, Anthropic and OpenAI APIs, Vercel AI SDK. g. Nice to have: durable workflow execution for long-running, unattended processes (Temporal, Innge

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