Lead AI Engineer - Perm - Manchester

SRG; Manchester; Hybrid; GBP 100,000 - 110,000; Full time

Job summary

SRG is seeking a Senior AI Engineer to join our developer productivity team in Manchester. This is a hands-on, hybrid role where you will build tooling and workflows to help engineers ship code faster and with evidence-backed results.

You will work with LLMs, coding agents, and open-source tools, designing evaluations and measuring impact in real codebases. Collaboration with platform teams and strong coding standards are essential.

Qualifications

• Strong professional software engineering experience for production systems.
• Excellent programming and software design skills with testing, CI/CD and code review.
• Hands-on experience with LLM APIs, tool calling and agentic workflows.

Responsibilities

• Build and operate production software, tooling and workflows for AI-enabled engineering.
• Measure results honestly and iterate based on evidence across real codebases.
• Apply AI coding tools and agents to improve software delivery without overpromising outcomes.

Skills

Software engineering

Testing

CI/CD

Code review

LLM APIs

Tooling

Python

SQL

Git workflows

Observability

Experiment design

Tools

Docker

Kubernetes

Git

Jenkins/Harness

AWS

FastAPI

RAG

Vector search

Job description

Senior AI Engineer - Developer Productivity

Manchester (hybrid, 2 days a week in the office) | Permanent | £100,000-£110,000 + bonus

A leading digital and retail business in the global betting and gaming industry is looking for an engineer who'd rather prove what works than sell what's fashionable.

With around 250 engineers building and running its platforms, the business wants to use LLMs and coding agents to help them deliver better software, faster, and to be able to show the evidence. This is a hands-on role. You'll work out where AI helps engineers and where it doesn't, build the tooling and workflows that make it work in real codebases, and measure the results honestly. You'll use the best available models, coding agents and open-source tools. This isn't a model-building or research role.

What they're looking for:

• Strong professional software engineering experience, including building and operating production software
• Excellent programming and software design skills, with a solid grasp of testing, CI/CD and code review
• Hands-on experience building with LLM APIs, including tool calling and agentic workflows
• Day-to-day use of AI coding tools and agents on real codebases, with an evidence-based view of where they help and where they hurt
• A practical understanding of how LLMs and agents fail: plausible but wrong code, fixes that mask symptoms, tests gamed to pass, context limits and cost growth
• Experience integrating with Git platforms, CI/CD, issue trackers and observability tooling
• Experience designing evaluations for AI outputs, or comparable experimental rigour
• Python (or similar) and SQL for preparing code, documents and tickets for retrieval
• Credibility with engineers and the ability to influence without line authority, including winning over sceptics
• Helpful: Bitbucket, Jenkins/Harness, Docker, Kubernetes, AWS, FastAPI, MCP, DORA-style measurement, RAG and vector search, self-hosted open-weight models, or a regulated environment such as gambling or financial services

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