Forward Deployed AI Engineer

Salary: £100,000 - 100,000 per year

Requirements:

• Strong software engineering fundamentals across clean code, testing, CI/CD and production systems
• Strong programming skills in Python, TypeScript or similar, with experience across multiple modern languages
• Full-stack capability, including back-end and data engineering
• Proven experience building and shipping production LLM/AI applications
• Hands-on experience with RAG, AI agents, prompt engineering, tool orchestration and MCP
• Experience with AI evaluation, testing, datasets and guardrails
• Client-facing experience and an understanding of enterprise security, compliance and legacy environments
• High autonomy, strong communication skills and a commercial, outcome-focused mindset
• Vector databases, embeddings or fine-tuning
• AWS or Google Cloud
• Startup or founder experience
• Open-source contributions or AI side projects

Responsibilities:

• Build AI solutions using RAG, AI agents, LLM integrations and MCP
• Take solutions from prototype through to production, including security, scalability, guardrails and observability
• Build AI evaluation and testing frameworks to measure accuracy and reliability
• Work with complex client data, integrations and enterprise environments
• Work directly with clients, demo progress and iterate quickly based on feedback
• Develop the internal AI platform and reusable engineering accelerators
• Help upskill client engineering teams and stay on top of emerging AI technologies

Technologies:

• AI
• AI Agents
• AWS
• CI/CD
• Cloud
• Fine-tuning
• LLM
• MCP
• Python
• RAG
• Security
• TypeScript

More:

We are a growing technology consultancy building an AI-native engineering capability. This is a permanent hybrid role based in Leeds, offering a salary of up to £100,000, private healthcare, professional development and funded learning, hybrid working with remote flexibility, and clear progression within a growing engineering function. You will work in a small delivery pod on modern, AI-enabled systems at scale, with ownership across discovery, architecture, build and production, and the opportunity to help shape our internal AI platform and reusable accelerators.

last updated 39 week of 2026