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Lead AI Engineer

Summary

Lead the design and delivery of production-grade AI systems using LLMs, RAG, and agent workflows while mentoring engineers and establishing LLMOps practices.

We’re partnering with a fast-growing organisation in the digital identity and data space, delivering intelligent, data-driven products used in real-world environments.

They’re seeking a Lead AI Engineer to drive the design, development, and delivery of production-grade AI solutions - combining technical leadership with hands-on engineering.

This is a rare opportunity to work with modern LLM architectures and shape how AI is built, deployed, and scaled across a high-impact platform.

Key Responsibilities

  • Lead the design and delivery of end-to-end AI solutions
  • Build and deploy LLM-powered systems (RAG, agents, orchestration)
  • Develop scalable APIs, services, and data pipelines
  • Design retrieval and ranking systems for accurate outputs
  • Establish AI evaluation, testing, and quality frameworks
  • Drive LLMOps practices (monitoring, performance, optimisation)
  • Ensure solutions are secure, reliable, and cost-efficient
  • Mentor engineers and contribute to technical leadership

Lead AI Engineer

Build real-world AI at scale

Skills & Experience

  • Proven experience building production-grade software systems
  • Strong hands-on experience with LLMs / GenAI technologies
  • Expertise in backend development (APIs, microservices, data systems)
  • Experience with RAG, prompt design, or agent-based workflows
  • Strong understanding of system performance, scalability, and reliability
  • Experience with AI evaluation and quality improvement
  • Excellent communication and stakeholder engagement skills

Nice to Have

  • Experience with search / retrieval systems or vector databases
  • Knowledge of AI cost optimisation techniques
  • Exposure to secure or data-sensitive environments
  • Background in SaaS or data-rich platforms

What’s on Offer

  • Opportunity to lead and shape AI capability
  • Work with cutting-edge AI technologies in production
  • Collaborative and high-performing team environment
  • Flexible / hybrid working arrangements
  • Strong focus on innovation, impact, and growth

See also