AI Engineer

The role

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

What you'll bring

• 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.