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.

• 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

• 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

• 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)

• 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.

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