Senior AI Engineer - Enterprise AI & Agentic Systems

Elsevier

Greater London

Hybrid

GBP 110.000 - 150.000

Vollzeit

14 Tage+

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Benefits dieser Stelle

Comprehensive Pension Plan
Generous vacation entitlement and sabb
Parental, Adoption, and Family Care Le

Zusammenfassung

Elsevier seeks a Senior Software Engineer / Senior AI Engineer to join embedded innovation squads, tackling AI-enabled software design and implementation. You’ll drive prototypes, build agentic workflows, mentor junior engineers, and ensure robust integration with enterprise systems.

Role emphasizes end-to-end delivery, collaboration with stakeholders, and ongoing learning in a fast-moving AI-enabled environment.

Qualifikationen

  • 4+ years of software engineering experience, ideally with AI-enabled or data-intensive systems.
  • Bachelor’s degree in Engineering, CS, or equivalent.
  • Autonomous, delivery-focused with short, time-boxed cycles and validated outcomes.
  • Experience building RAG pipelines, tool-augmented agents, and agentic workflows.

Aufgaben

  • Build prototypes and proofs of concept; ship AI-enabled solutions.
  • Implement and test tool use, retrieval pipelines, and agent workflows.
  • Contribute to evaluation, observability, and guardrails for agentic systems.
  • Mentor junior engineers through pair programming and collaboration.
  • Write and review detailed specifications for complex components.
  • Integrate AI into existing systems via APIs and data pipelines.

Kenntnisse

AI development
Python
Java
TypeScript
SQL
Cloud platforms
CI/CD
Mentoring
Software design
Retrieval pipelines
Agentic AI

Ausbildung

BS in Engineering or Computer Science

Tools

AWS
Azure
GCP
LLM toolkits

Jobbeschreibung

Elsevier seeks a Senior Software Engineer / Senior AI Engineer to join embedded innovation squads, tackling AI-enabled software design and implementation. You’ll drive prototypes, build agentic workflows, mentor junior engineers, and ensure robust integration with enterprise systems.

Role emphasizes end-to-end delivery, collaboration with stakeholders, and ongoing learning in a fast-moving AI-enabled environment.

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