AI Engineer - Production-Grade LLM & Agent Systems

AI Engineer - Production-Grade LLM & Agent Systems

Full-Time 60000 - 80000 Β£ / year (est.) No working from home possible
Elsevier

At a Glance

  • Tasks: Build and ship AI-powered features in a collaborative Innovation Squad.
  • Company: Join Elsevier, a leader in innovation and technology.
  • Benefits: Enjoy flexible hours, generous benefits, and a focus on work-life balance.
  • Other info: Be part of a dynamic team with opportunities for growth.
  • Why this job: Make an impact by integrating AI into real-world workflows.
  • Qualifications: Experience in AI development and a passion for innovation.

The predicted salary is between 60000 - 80000 Β£ per year.

Elsevier is seeking an AI Engineer to build and ship AI-powered features within a cross-functional Innovation Squad in Greater London. This role involves delivering technical solutions that integrate AI into existing workflows and ensure high code quality.

You will work independently to develop prototypes, maintain documentation, and support capability building, while contributing to a culture of innovation and collaboration.

We promote work-life balance with flexible hours and generous benefits.

AI Engineer - Production-Grade LLM & Agent Systems employer: Elsevier

At Elsevier, we pride ourselves on being an excellent employer, particularly for our Java Software Engineer role in Oxford. Our vibrant work culture fosters collaboration and innovation, while our commitment to employee growth is evident through continuous learning opportunities and flexible working arrangements that promote a healthy work-life balance. Join us to be part of a team that values your contributions and supports your professional journey in the exciting field of scientific knowledge sharing.

Elsevier

Contact Details:

Elsevier Recruitment Team

We think you need these skills to ace AI Engineer - Production-Grade LLM & Agent Systems

AI Development
Prototyping
Technical Solutions Integration
Code Quality Assurance
Documentation Maintenance
Collaboration
Innovation