AI Engineer Wexler

Pear VC; Greater London; On-site; GBP 70,000 - 90,000; Full time

Job summary

A leading AI legal tech company based in London is seeking an exceptional AI engineer to shape the future of legal work. The role involves designing production-grade LLM systems and refining evaluation frameworks. You will work closely with expert litigators and have the opportunity for substantial ownership and autonomy. Competitive salary between £70K and £90K with significant early-stage equity is offered. This role is on-site in London, fostering collaboration within a fast-paced startup environment.

Benefits

Meaningful early-stage equity

Budget for learning and professional growth

Bi-annual team retreats

Bi-annual team retreats

Qualifications

• Expert-level experience in Python with production LLM systems.
• Hands-on designing of LLM agents and RAG pipelines.
• Solid grounding in NLP fundamentals like tokenization and embeddings.

Responsibilities

• Design and refine production-grade LLM agents for litigators.
• Lead development of evaluation frameworks and pipelines.
• Drive advanced prompt-engineering practices.

Skills

Python

NLP fundamentals

LLM systems

Evaluation frameworks

Prompt-engineering

Job description

About Wexler

Wexler is building the best AI system for litigation on the planet. We work with some of the worlds largest law firms helping them to solve their most complex cases find the winning strategy in each matter and create clarity from the chaos of documents and facts in each case. We are a rapidly growing legal AI company based in London. Clifford Chance HSFKramer Goodwin Addleshaw Goddard and more rely on us to help find the critical facts that can determine their chances of winning a case.

Were backed with a $5.3M Seed by Pear VC Seedcamp The LegalTechFund many leading industry angels.

We are building a comprehensive AI platform for managing resolving and preventing legal disputes across Enterprise law firms and Fortune500 companies. We are growing 10x YoY and signing more eminent firms every month. Our system extracts objective cross referenced facts from millions of documents helping litigators win more cases whilst saving months of working this way we ensure every client gets the representation they deserve.

AI is transforming the law but most tools have focused on contract law or are generalist copilots that aggregate the tasks lawyers do across practices. Wexler is the leading gen-AI platform specifically built for the nuances of litigation and our growth proves the story is resonating.

About the Role

We are looking for an exceptional AI engineer to shape the future of legal work. We are building agentic systems that analyse millions of documents to extract the critical factual information that wins legal battles. As a core member of the team you will have direct oversight of the AI strategy manipulating the most powerful technology in software to solve real problems faced by some of the worlds most expert litigators.

Responsibilities

• 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.

Technical Must-Haves

• 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.

You will be :

A builder. You might spend your weekends at hackathons or playing around with DeepSeek. You love working with LLMs to crystallise new ideas and make them reality

Excited to work in our office in London. We work from the WeWork in Aldwych and we spend 4 days a week in person.

Excited to work with a group of kind ambitious builders solving challenging problems for enterprise clients.

Fascinated with AI and LLMs. You want to understand how they are made what you can do with them and where they are going. You will come to the office with new ideas which we can turn into production in a matter of hours.

Ready to work in a fast-paced startup environment with evolving requirements and priorities

What We Offer

Competitive salary and meaningful early-stage equity (70-90K)

Huge autonomy and and ownership. You will be designing and realising AI systems for some of the most expert users in AI.

Budget for learning and professional growth

Bi-annual team retreats

About the opportunity :

Legal AI has caught the attention of VCs and the wider tech world but the reality is adoption with users is low in the enterprise with roughly 20% of lawyers using AI tech. Of those lawyers most are transactional or contract lawyers and they use generalist platforms that look to aggregate the tasks lawyers do but do not go deep into specific workflows. Thats where Wexler is different. We are a scalpel rather than a Swiss Army knife meaning we go deep into the workflows that can decide how a legal case is won. We have extremely positive feedback from lawyers and we have an ambitious roadmap of features to expand our coverage while retaining the forensic detail that makes our product great.

Lastly if you think you dont quite fit the bill but youd still be interested in chatting for a different role get in touch at ..

Key Skills

• ASP.NET
• Health Education
• Fashion Designing
• Fiber
• Investigation

Employment Type : Full-Time

Experience : years

Vacancy : 1

Monthly Salary Salary : 70 - 100