Senior AI Engineer, Agentic Systems for Workflows

Agilent Technologies Spain S.L.

Barcelona

Sur place

EUR 134 000 - 209 000

Plein temps

14 jours+
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Résumé du poste

Agilent Technologies Spain S.L. seeks a senior engineer to design and deliver scalable AI-powered workflows within regulated life-science contexts. You will architect agent-based solutions, define RAG patterns, and ensure governance across data products and observability.

The role requires hands-on experience building production-ready AI services, strong collaboration with scientists and QA, and the ability to operate in a fast-moving, compliant environment with clear metrics and risk controls.

Qualifications

  • Full-stack engineering strength with demonstrated LLM application experience in production.
  • Experience building agents, RAG, evaluation, observability, and deployment.
  • Familiarity with MCP or equivalent tool-use protocols; architecture for composable systems.
  • High agency and tolerance for ambiguity; comfortable in multi-disciplinary teams.
  • Experience under regulated environments; audit trails as a feature.

Responsabilités

  • Architect and build agent-based systems on the AI platform.
  • Define patterns for orchestration, evaluation, and governance.
  • Promote assets back to the registry with proper documentation.
  • Collaborate with domain SMEs, scientists, and legal/security teams.
  • Ensure production observability and regression gates are in place.

Connaissances

LLM application experience
Agents & RAG & evaluat
MCP / A2A spine knowledge
Communication

Formation

Bachelor's or Master's Degree or equivalent

Outils

MCP

Description du poste

Agilent Technologies Spain S.L. seeks a senior engineer to design and deliver scalable AI-powered workflows within regulated life-science contexts. You will architect agent-based solutions, define RAG patterns, and ensure governance across data products and observability.

The role requires hands-on experience building production-ready AI services, strong collaboration with scientists and QA, and the ability to operate in a fast-moving, compliant environment with clear metrics and risk controls.

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