Frontier AI Engineer (Contract) — Lead Early Client Tech

hedgehog lab

City of Edinburgh

Hybrid

GBP 27,000 - 46,000

Full time

3 days ago
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Job summary

Hedgehog Lab in the UK is seeking a Forward Deployed Engineer on a three-month contract (Outside IR35) to lead early-stage client engagements near Edinburgh and other major cities. You’ll be the first engineer on a new engagement, working hands-on with clients to define what’s possible and building a proof that a delivery team can scale.

The role involves high levels of client contact, architecture thinking, and practical delivery using AI agents, TypeScript or Python, and frameworks like NestJS

Qualifications

  • Real experience using AI agents to build production software.
  • Track record of breaking down ill-defined problems and shipping useful solutions.
  • Strong TypeScript or Python across the full stack, with NestJS or FastAPI.
  • Experience working with and presenting to clients directly.
  • Clear written communication, ADRs and docs others rely on.
  • Consulting, professional services or forward-deployed experience.
  • Practical approach to architecture, sized to POC, pilot or production.

Responsibilities

  • Turn the client's goals into a solution architecture and technology choices.
  • Build proofs of concept that validate the design and hand off cleanly.
  • Define the agentic engineering pipeline: tooling, workflows and guardrails for AI coding agents.
  • Set the quality approach, including testing and code review.
  • Knowledge transfer through pairing, leaving patterns the client's engineers can own.
  • Producing the architectural decision records.

Skills

AI agents
TypeScript
Python
NestJS
FastAPI
Client-facing
Documentation

Job description

Hedgehog Lab in the UK is seeking a Forward Deployed Engineer on a three-month contract (Outside IR35) to lead early-stage client engagements near Edinburgh and other major cities. You’ll be the first engineer on a new engagement, working hands-on with clients to define what’s possible and building a proof that a delivery team can scale.

The role involves high levels of client contact, architecture thinking, and practical delivery using AI agents, TypeScript or Python, and frameworks like NestJS

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