Job Description
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
AI Product Engineer