Lead Product Engineer - Agentic AI Leader (Remote UK)

Burns Sheehan

Greater London

Remote

GBP 100,000 - 120,000

Full time

2 days ago
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Job summary

Burns Sheehan Limited is seeking a Lead Product Engineer to drive an AI-native product engineering transformation. You will lead a small team of 2-3 engineers, own the technical direction, and work closely with Product and Design to deliver customer-facing software leveraging AI agents.

This hands-on leadership role is remote in the UK with occasional travel to the HQ. You'll shape workflows, tooling and feedback loops to embed agentic AI across the development lifecycle while maintaining code

Qualifications

  • Hands-on Tech Lead or Engineering Manager experience
  • Strong full-stack development fundamentals
  • Demonstrable experience using AI agents to build and ship production software
  • Experience introducing agentic workflows and tooling
  • Strong product mindset with close collaboration with Product/Design
  • Ability to lead and develop a small engineering team while remaining hands-on
  • Commercial awareness and focus on customer/business outcomes

Responsibilities

  • Lead a small team of 2-3 engineers and own the technical direction
  • Architect and deliver production software with a hands-on approach
  • Introduce agentic engineering practices and feedback loops
  • Collaborate with Product and Design to align with business outcomes
  • Balance speed with quality and establish new ways of working within the team

Skills

Tech Lead
Full-stack
AI agents
Agentic workflows
Product mindset
Team leadership
Commercial awareness

Tools

React
React Native
Expo

Job description

Burns Sheehan Limited is seeking a Lead Product Engineer to drive an AI-native product engineering transformation. You will lead a small team of 2-3 engineers, own the technical direction, and work closely with Product and Design to deliver customer-facing software leveraging AI agents.

This hands-on leadership role is remote in the UK with occasional travel to the HQ. You'll shape workflows, tooling and feedback loops to embed agentic AI across the development lifecycle while maintaining code

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