Production AI Engineer: Build Scalable LLM Systems

Production AI Engineer: Build Scalable LLM Systems

Full-Time 80000 - 100000 Β£ / year (est.) No working from home possible
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At a Glance

  • Tasks: Build and ship production-grade AI systems, owning projects from idea to production.
  • Company: Radley James, a leader in innovative AI solutions.
  • Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
  • Other info: Fast-paced environment with exciting challenges and career advancement.
  • Why this job: Join a high-caliber team and influence the future of AI production.
  • Qualifications: Experience with AI/LLM systems and familiarity with ML pipelines.

The predicted salary is between 80000 - 100000 Β£ per year.

Radley James is seeking a hands-on Applied AI Engineer to build and ship production-grade AI systems. You will work across various elements including RAG pipelines and APIs, owning projects from idea to production.

The ideal candidate has experience with AI/LLM-powered systems, is familiar with ML pipelines, and thrives in fast-paced environments. This role offers a unique opportunity to influence AI production in a high-caliber team setting.

Production AI Engineer: Build Scalable LLM Systems employer: Radley James

Radley James is an exceptional employer that fosters a dynamic and innovative work culture, perfect for those looking to make a significant impact in the tech industry. With a focus on collaboration and employee growth, team members are encouraged to take ownership of their projects while working with cutting-edge technologies in a hybrid London setting. The company values creativity and offers unique opportunities for professional development, making it an ideal place for passionate individuals seeking meaningful and rewarding careers.

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Contact Details:

Radley James Recruitment Team

We think you need these skills to ace Production AI Engineer: Build Scalable LLM Systems

Applied AI Engineering
Production-grade AI Systems
RAG Pipelines
APIs
AI/LLM-powered Systems
ML Pipelines
Project Ownership