Senior AI Engineer — Build Production LLM Systems

Primis

Greater London

On-site

GBP 70,000 - 90,000

Full time

14 days+

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Job summary

A high-growth AI startup in the UK is seeking a Senior AI Engineer to design and implement LLM-powered systems that address real customer problems. This hands-on role requires strong skills in building AI systems and understanding ML fundamentals. Ideal candidates will enjoy switching between high-level design and low-level debugging, working on scalable AI orchestration, and collaborating with cross-functional teams. The company encourages underrepresented talent to apply and supports accessibility needs.

Qualifications

  • Experience building and deploying non-trivial AI systems in production.
  • Strong understanding of machine learning and deep learning fundamentals.
  • Experience with LLMs, agents, RAG, or large-scale inference pipelines.
  • Ability to move comfortably between research papers and production code.
  • Curiosity, ownership, and a strong desire to keep improving.

Responsibilities

  • Design and implement LLM-based systems and agentic workflows.
  • Build and maintain evaluation frameworks to measure model performance.
  • Develop scalable, asynchronous systems for AI orchestration.
  • Work on RAG pipelines, multi-agent systems, and production LLM workflows.
  • Collaborate closely with engineers, researchers, and product teams.
  • Contribute to AI strategy and long-term technical direction.

Skills

Building and deploying AI systems
Understanding of ML and deep learning fundamentals
Experience with LLMs and large-scale inference pipelines
Switching between research and production code
Curiosity and ownership

Job description

A high-growth AI startup in the UK is seeking a Senior AI Engineer to design and implement LLM-powered systems that address real customer problems. This hands-on role requires strong skills in building AI systems and understanding ML fundamentals. Ideal candidates will enjoy switching between high-level design and low-level debugging, working on scalable AI orchestration, and collaborating with cross-functional teams. The company encourages underrepresented talent to apply and supports accessibility needs.
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