AI Engineer - Wexler
AI Engineer - Wexler
Pear
Wexler is a rapidly growing legal AI company based in London, focused on developing advanced AI systems for litigation. They partner with major law firms to enhance their case strategies and document analysis. The company is backed by significant funding and is experiencing rapid growth in the legal tech sector. They are seeking an exceptional AI Engineer to lead the development of AI strategies and systems that analyze large volumes of legal documents to extract critical information.
Qualification
- 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
Responsibility
- Design, build and refine production-grade LLM agents and proprietary algorithms for expert litigators
- Lead development of robust evaluation frameworks and pipelines, establishing metrics and benchmarking models on large datasets to steer R&D
- Drive advanced prompt-engineering practice to maximise model efficacy
- Apply core NLP fundamentals (tokenisation, embeddings, model architecture) while keeping outputs structured, performant and cost-efficient
- Own clean, modular Python back-end code for data-intensive systems, balancing real-world constraints such as token limits, cost and latency
