AI Engineer

Hyra

Greater London

On-site

GBP 117,000 - 179,000

Full time

29 hours ago
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Job summary

AirlineTech Ltd. in London (Heathrow) is seeking an AI/GenAI Engineer for a contract role. You will build, evaluate, and operate AI applications, agents, and reusable tooling that other teams can leverage in real operating conditions.

The role focuses on applying LLM patterns, building deterministic APIs, and implementing guardrails, traceability, and cost controls. You’ll ship production-ready code and work in a fast-paced airline tech environment.

Qualifications

  • 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.

Responsibilities

  • Implement agents, AI-assisted workflows, retrieval systems, and model integrations
  • Build deterministic tools and APIs for agents 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

Skills

APIs & cloud systems
Testing & production ops
LLM application patterns
System evaluation

Job description

AI / GenAI Engineer (Contract)


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.


Location: Heathrow Type: Contract


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.


Guidant, Carbon60, Lorien & SRG - The Vertage Group Portfolio are acting as an Employment Business in relation to this vacancy.

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