Full-Stack AI Engineer: End-to-End Production & UI

commercetools; Valencia; Híbrido; EUR 90.000 - 130.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Health benefits

Learning budget

Parental leave

Equity program

Descripción de la vacante

commercetools is hiring a Senior AI Engineer to own end-to-end AI capabilities, from data and context feeding models through agent orchestration to a live, trusted generative UI. You will ship and operate full-stack apps in production, spanning backend, frontend, data, and ML, with a focus on reliability and measurable improvements.

You will build agent loops, secure MCP-based integrations, and ground models with retrieval/embeddings.

Formación

• Shipped full-stack apps to production end-to-end.
• 5+ years shipping production software.
• 2+ building with LLMs in production.
• Hands-on experience with UI protocols and generative/agent-driven UI protocols.
• Experience with async, streaming, and observability.
• Strong SQL and data retrieval/embeddings know-how.

Responsabilidades

• Build agent loops and orchestration: tool use, structured outputs, business-rule enforcement, graceful failure.
• Build the integration layer (via MCP) that lets agents securely call backend systems and APIs.
• Render model output into live, streamed UI using generative/UI protocols.
• Ground models in real data: retrieval, embeddings, and feedback loops.
• Treat evals as a first-class system with provable improvements.
• Move capabilities from prototype to guarded production features.

Conocimientos

Full-stack production

LLMs in production

UI protocols (A2UI, AG-UI, MCP-UI)

MCP Python

TypeScript/Node + React

SQL

Async/Streaming/Observability

Retrieval & Embeddings

Descripción del empleo

commercetools is hiring a Senior AI Engineer to own end-to-end AI capabilities, from data and context feeding models through agent orchestration to a live, trusted generative UI. You will ship and operate full-stack apps in production, spanning backend, frontend, data, and ML, with a focus on reliability and measurable improvements.

You will build agent loops, secure MCP-based integrations, and ground models with retrieval/embeddings.