AI Product Engineer

We are looking for an experienced AI Product Engineer to help build and scale AI-powered features within a modern product environment. This is a hands-on engineering role focused on integrating commercial AI APIs into a .NET ecosystem — not building models from scratch.

You will design, develop, and deliver production-ready features that rely on services such as Anthropic Claude, AWS Bedrock, and OpenAI. AI-assisted development will be a core part of your workflow, and you will help shape how it is adopted across the engineering team.

This role is ideal for someone who has already worked in a team where AI was embedded into real products and can bring proven patterns, practices, and standards into a new environment.

What You’ll Do

Design and implement AI-powered product features within a C# / .NET stack
Integrate commercial AI APIs into production systems with reliability and scalability in mind
Establish best practices for AI integration across the codebase
Lead by example through AI-assisted development workflows
Pair with developers and support adoption of tools like Claude Code or Cursor
Build observable, maintainable systems with strong logging, cost tracking, and guardrails

Must Have

5+ years experience with C# / .NET Core
7+ years total commercial software engineering experience
Proven experience designing and shipping AI API integrations in production (.NET)
Experience setting patterns that other developers adopted across a team
Hands-on experience introducing AI-assisted development tools into a team environment
Strong RESTful API design skills (clean, versioned, observable)
Solid SQL experience (MariaDB or MySQL)
Focus on quality, resilience, and observability in AI-driven features

Nice to Have

AWS experience (EC2, RDS, Lambda, S3, Bedrock)
Product-level prompt design and iteration practices
Experience with structured outputs, tool use, or function calling
Frontend exposure (JavaScript, Vue, Nuxt 3)
Microservices or distributed systems experience
Familiarity with Shape Up methodology
Awareness of secure-by-design principles (e.g. ISO 27001)

Not the Right Fit If You

Focus on training models rather than integrating them
Come from a data science background without strong engineering experience
Prefer Python-heavy environments and do not want to work in .NET
Are sceptical of AI-assisted development
Have not worked with paid AI APIs in production
Are looking for a strategy or leadership-only AI role

If you’re passionate about building real-world AI features and want to work in a team where AI is part of the engineering craft — not just a concept — we’d love to hear from you.

Benefits:

Hybrid working - 2 days office based
Training and Development budget
Excellent career progression