AI Engineer

This is a software engineering role specialised in AI, not a prompt-writing or experimentation-only position. You’ll build, evaluate, and operate AI applications, agents, and reusable tooling that other teams can build on.

What you’ll do

• Implement agents, AI-assisted workflows, retrieval systems, and model integrations
• Build the deterministic tools and APIs agents use to interact with enterprise systems
• Develop automated evaluations for quality, safety, reliability, and regression detection
• Implement guardrails, permissions, traceability, fallback, and human-escalation mechanisms
• Monitor cost, latency, behaviour, and business outcomes
• Diagnose production failures and keep improving performance
• Contribute reusable components, standards, and reference implementations

• Strong software engineering fundamentals: APIs, cloud systems, testing, and production operations
• Practical knowledge of LLM application patterns
• A habit of improving systems through measurable evaluation, not subjective demos
• Multiple seniority levels are considered, but the engineering fundamentals are essential

Ideal candidates from strategy consulting backgrounds We’re keen to hear from engineers who have built their careers in the technology and AI arms of firms such as McKinsey (QuantumBlack), BCG (BCG X), or Bain. You’ll understand how AI creates value for the business, communicate clearly with non-technical stakeholders, and are used to delivering under client pressure. You should also be a hands-on builder who ships and operates code, not only someone who advises on it.

Our client, a leading British airline, is scaling AI across its business. They are hiring AI/GenAI Engineers to build production-grade AI that works in real operating conditions.