AI Engineer - Wexler

The role

You will design, build, and refine production-grade LLM agents and proprietary algorithms. You will work on agentic systems that analyze millions of documents to extract critical factual information for litigators.

What you will do

• Design, build and refine production-grade LLM agents and proprietary algorithms
• Lead development of robust evaluation frameworks and pipelines
• Establish metrics and benchmarking models on large datasets to steer R&D
• Drive advanced prompt-engineering practice
• Apply core NLP fundamentals
• Own clean, modular Python back-end code for data-intensive systems

Required qualifications

• Expert-level Python with a track record of shipping production LLM systems
• Hands-on experience designing LLM agents and RAG pipelines
• Proficiency with AI evaluation frameworks and end-to-end evaluation pipelines
• Solid grounding in NLP fundamentals (tokenisation, embeddings, bias handling)
• Ability to juggle token limits, cost and latency while delivering structured outputs
• Ready to work in a fast-paced startup environment with evolving requirements and priorities

Benefits

• Competitive salary
• Meaningful early-stage equity
• Huge autonomy and ownership
• Budget for learning and professional growth
• Bi-annual team retreats

About the company

Wexler is a rapidly growing legal AI company based in London. They build an AI platform for managing, resolving and preventing legal disputes for law firms and Fortune500 companies.