Senior Applied AI Engineer (.NET)

We're looking for a Senior Applied AI Engineer to design and deliver production-grade AI-powered features within a modern .NET product environment.

This is a hands-on engineering role focused on applying AI in real systems - not training models. You'll work with commercial AI platforms such as Anthropic Claude, AWS Bedrock, and OpenAI to build reliable, scalable, and observable features that ship to users.

You'll also play a key role in shaping how AI is adopted across the engineering team - setting standards, introducing tooling, and leading by example through high-quality, AI-assisted development practices.

This role suits someone who has already successfully integrated AI into production products and can bring proven patterns into a growing team.

What You'll Do

Design and build AI-powered product features within a C# / .NET ecosystem

Integrate commercial AI APIs into production systems with a focus on reliability, scalability, and cost control

Establish and promote best practices for applied AI engineering across the codebase

Lead by example using AI-assisted development workflows

Support and mentor engineers adopting tools such as Claude Code or Cursor

Build systems with strong observability, logging, and guardrails

Contribute to clean, well-structured, and versioned RESTful APIs

Collaborate closely with product and engineering teams to deliver user-facing AI capabilities

7+ years of commercial software engineering experience

5+ years working with C# / .NET (Core)

Proven experience designing and shipping AI integrations in production

Strong experience integrating paid AI APIs (e.g. OpenAI, Anthropic, Bedrock)

Demonstrated ability to set patterns and standards adopted by other engineers

Hands-on experience introducing AI-assisted development tools into a team

Strong REST API design skills (clean, versioned, observable)

Solid SQL experience (MariaDB or MySQL)

A strong focus on quality, resilience, and maintainability

Nice to Have

Experience with AWS (EC2, RDS, Lambda, S3, Bedrock)

Practical experience with prompt design, iteration, and evaluation

Familiarity with structured outputs, tool use, or function calling

Frontend exposure (JavaScript, Vue, Nuxt 3)

Experience working in microservices or distributed systems

Familiarity with Shape Up methodology

Awareness of secure-by-design principles (e.g. ISO 27001)

Not the Right Fit If You

Focus on training or fine-tuning models rather than applying them

Come from a purely data science or research background

Prefer Python-heavy environments and don't want to work in .NET

Are sceptical of AI-assisted development workflows

Haven't worked with commercial AI APIs in production

Are looking for a strategy-only or non-hands-on role