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Technical Lead

develop
Department:Fullstack React
Type:REMOTE
Region:UK
Location:United Kingdom
Experience:Mid-Senior Level
Estimated Salary:Up to £120,000
Skills:
TYPESCRIPTNODE.JSREACTNEXT.JSSQLNOSQLAWSGCPAGENTIC SYSTEMSLLMAIOPSMLOPS
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Job Description

Posted on: August 21, 2026

Tech Lead / Engineering Lead | AI-Native Product

Salary: Up to £120,000 | Remote | Flexible Location (UK)


I’m working with a fast-growing AI-native technology company building innovative products at the intersection of AI, computer vision and document understanding.


They’re looking for a highly technical Tech Lead / Engineering Lead who can help define how engineering operates in the era of AI-assisted and agentic development.


This is a hands-on leadership role for someone who wants to combine technical direction, product thinking, architecture and engineering leadership, while actively using AI agents as part of the development process.


What you’ll be doing:

  • Own outcomes rather than simply managing tickets, taking ambiguous problems through to shipped, measurable value.
  • Partner closely with Product, Design and customers to understand the problem, define requirements and establish what “good” looks like.
  • Own the technical approach and architecture once the problem is defined.
  • Use AI-assisted development, agentic coding and multi-agent workflows to accelerate delivery while maintaining production-quality standards.
  • Establish strong practices around code review, testing, evaluation and observability to ensure AI-generated work can be trusted.
  • Drive technical direction across modern, cloud-native architectures, APIs and event-driven services.
  • Provide technical leadership and mentorship to engineers.


What they’re looking for

Essential:

  • Strong product mindset with the ability to think beyond individual features or endpoints.
  • Full-stack experience across TypeScript, Node.js and a modern frontend framework such as React or Next.js.
  • Experience designing APIs and working with SQL and NoSQL databases.
  • Experience deploying and operating services in AWS, GCP or similar cloud environments.
  • Experience with agentic systems, including evaluation, guardrails and multi-step LLM workflows.
  • Familiarity with AIOps, MLOps or LLMOps, including model monitoring, prompt versioning, canary deployments and drift detection.
  • Previous experience leading or mentoring engineers within a fast-moving product environment.


Nice to have:

  • Experience establishing engineering ways of working, including refinement and review practices.
  • Experience working within a startup or scale-up where engineering processes have been built from the ground up.


Why consider it?

This is an opportunity to join an AI-first engineering environment where you'll have genuine influence over how software is built, tested and delivered.

You’ll have the opportunity to shape engineering practices, work closely with product leadership, and help define what high-quality software development looks like when AI agents become a first-class part of the engineering team.


Interested?

Drop me a message for more information or to discuss the role confidentially.

Originally posted on LinkedIn

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