AI Evaluation Engineer

• Design evaluation frameworks and tooling
• Develop evaluation harnesses
• Evaluate model and agentic AI systems
• Define metrics and methodologies
• Build repeatable evaluation processes
• Investigate AI failures
• Work directly with government teams
• Prototype and test solutions
• Present findings and recommendations
• Contribute to strategic direction.

• Strong software engineering experience
• Experience building and evaluating AI systems
• Understanding of LLMs and agentic AI
• Experience with AI evaluation frameworks
• Ability to code independently
• Strong problem-solving and communication skills
• Comfortable working autonomously.

Technical Experience

AI/LLM Evaluation, RAG Evaluation, Ragas, Agentic AI Evaluation, Evaluation Harnesses, LLM Testing and Benchmarking, Prompt Engineering, Python Development, Model and Agent Integration.

Ideal Background

AI Evaluation Engineer, Applied AI Engineer, AI Engineer, LLM Engineer, Harness Engineer, Prompt Engineer or Software Engineer specialising in AI., Experience building evaluation tooling, evaluating LLMs, using Ragas, identifying AI failure modes, combining engineering with strategic thinking, and thriving in fast-moving environments.