Artificial Intelligence Engineer

Apply Recruitment

Manchester

2 months ago

Applications closed

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AI Engineering Lead (hands on) - Interim day rate - North West England Based.

Agentic AI

Hands-on AI Engineering Lead to lead the delivery of a defined AI project for a SaaS company.

The work is suited to someone operating at Principal Engineer or Head of Engineering level who has built and shipped agentic AI systems and can do so again, quickly, in a real-world product environment.

The role is embedded within a small innovation pod and works closely with Product leadership. It is not a research role and not a people-management role.

Purpose of the role

Deliver a small number of high-impact, AI-enabled solutions tied to clear business outcomes
Accelerate execution using Amazon Q and modern engineering tooling

Key responsibilities

Design, build, and ship agentic AI systems where AI acts as an active collaborator in workflows
Deliver production-grade AI-enabled features and prototypes
Apply AI to concrete business and customer problems, not generic chatbots or demos
Work directly in the codebase on core implementation
Lead technical delivery for the AI project end to end
Make architectural decisions that balance speed, quality, and safety
Integrate AI capabilities into existing systems pragmatically
Pair with engineers as needed to unblock delivery and accelerate progress

Tooling and stack

Use Amazon Q as the primary AI development assistant
Work within a .NET and Angular technology stack
Operate within Azure DevOps pipelines and CI/CD workflows
Introduce automation only where it demonstrably improves speed or quality

Required experience - Essential

Demonstrable experience building and shipping agentic AI systems in real products
10–15+ years of hands‑on engineering experience
Strong background in .NET and Angular
Practical, day-to-day use of Amazon Q or equivalent AI coding assistants
Strong judgement around system design, risk, and trade-offs

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