Applied AI Engineer (up to £180k)

The role

This AI platform, backed by leading investors, recently closed a significant Series A round, among the largest in its sector. They build mission-critical AI for enterprise customers, operating in highly regulated environments where security and compliance are non-negotiable. This is a foundational Applied AI Engineer role, reporting directly to the founders. You’ll own the end-to-end development and deployment of AI-powered features, from RAG systems to multi-agent infrastructure, all the way through to backend services and data pipelines. This role is about shipping production AI in a secure, regulated environment. It is not about academic research or prototyping in isolation.

The work

• Design, build, and deploy AI features (RAG, multi-agent systems) into a production platform.
• Develop robust backend services and APIs to support AI applications, ensuring enterprise-grade security and performance.
• Construct and maintain data pipelines for AI model training, evaluation, and continuous improvement.
• Implement and monitor LLM evaluation frameworks to guarantee accuracy, reliability, and safety in sensitive environments.
• Scale and optimize critical infrastructure, including background workers and Redis-backed queues, for high throughput.

What You Bring

• 5+ years of professional software engineering experience, with a clear track record of shipping production systems.
• Proven experience building and deploying AI applications (RAG, agent orchestration) in production, not just prototypes.
• Deep understanding of LLM evaluation techniques for accuracy, reliability, and safety.
• Strong backend engineering skills in Python (Django/FastAPI preferred) and relational databases.
• Expertise with cloud infrastructure, Docker, Kubernetes, CI/CD, and high-throughput queueing systems.

#J-18808-Ljbffr…