AI Product Engineer

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 Youll 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 youre 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 wed love to hear from you. Benefits: Hybrid working - 2 days office based Training and Development budget Excellent career progression AI Product Engineer TPBN1_UKTJ

Created: 2026-04-10