Key Responsibilities
- Define and implement end-to-end evaluation strategy for generative AI conversational systems (LLMs, RAG pipelines, agents)
- Establish evaluation metrics and quality benchmarks for model and system performance
- Build test datasets and benchmark models (GPT variants, open-source LLMs) and prompt strategies against them
- Implement automated evaluation pipelines to support continuous testing and monitoring
- Conduct human-in-the-loop evaluation for qualitative validation of model outputs
What You Will Ideally Bring
- Strong understanding of LLMs, RAG architecture, and prompt engineering
- Python skills for data analysis and building evaluation pipelines
- Experience with prompt evaluation tools (eg PromptTools, DeepEval, or similar)
- Experience in evaluation framework design, NLP quality assessment, and test dataset/benchmark creation
- Experience with LLM output evaluation and scoring, plus safety, risk and compliance testing
- Experience with tooling and automation for evaluation pipelines and experimentation frameworks
- Familiarity with Responsible AI principles
Contract Details
- Duration: 6 months
- Rate: £600/day - Inside IR35
- Location: London EC1M