AI Engineer: Production-Ready Software in London

AI Engineer: Production-Ready Software in London

London Full-Time 80000 - 98000 Β£ / year (est.) No working from home possible
RELX

At a Glance

  • Tasks: Build AI-powered features and deliver production-ready code in a collaborative Innovation Squad.
  • Company: Join a leading tech company focused on innovation and AI integration.
  • Benefits: Competitive salary, health benefits, and opportunities for professional growth.
  • Other info: Dynamic team environment with excellent career advancement opportunities.
  • Why this job: Make an impact by developing cutting-edge AI solutions that fit real-world workflows.
  • Qualifications: 3+ years in software engineering with a focus on LLM-powered applications and strong Cloud experience.

The predicted salary is between 80000 - 98000 Β£ per year.

Elsevier engineers are sought to build AI-powered features within an Innovation Squad, delivering production-ready code and integrating AI into enterprise systems.

You will develop retrieval pipelines, tool use, and agent workflows while upholding quality, observability and guardrails.

Collaboration with stakeholders is essential for real-world workflow fit and renewals.

Candidate should have 3+ years in software engineering focused on LLM-powered apps, strong Cloud experience, and excellent

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AI Engineer: Production-Ready Software in London employer: RELX

RELX is an excellent employer that values its employees by fostering a collaborative and inclusive work culture in the vibrant setting of Greater London. With generous holiday allowances, health screening benefits, and opportunities for professional growth, employees are encouraged to develop their skills while contributing to meaningful customer relationships in the SaaS industry.

RELX

Contact Details:

RELX Recruitment Team

We think you need these skills to ace AI Engineer: Production-Ready Software in London

AI-Powered Feature Development
Production-Ready Code
Integration of AI into Enterprise Systems
Retrieval Pipelines Development
Tool Use and Agent Workflows
Quality Assurance
Observability