Technical Lead

MBN Solutions; United Kingdom; On-site; GBP 120,000 - 180,000; Full time

Benefits offered by this job

EMI Equity

Remote-first culture

AXA private healthcare

Bonus scheme

EV salary sacrifice

Job summary

MBN Solutions in the United Kingdom is seeking a Tech Lead for Applied AI in LegalTech. You will own the AI platform architecture, lead a three-engineer team while staying hands-on, and collaborate with Product and Engineering leadership to shape the roadmap and pioneer new AI features.

The role focuses on production-grade AI with robust RAG, privacy, and reliability in regulated environments, backed by EMI equity and a remote-first culture.

Qualifications

• Deep experience with LLMs, RAG, and complex document understanding.
• Shipped AI products beyond PoC into production.
• Strong AWS experience, ideally leveraging Bedrock.

Responsibilities

• Own the AI platform architecture and technical roadmap.
• Lead a nimble team of AI Engineers while remaining hands-on.
• Drive architectural decisions and ensure reliability in regulated environments.

Skills

AI Expertise

LLMs & RAG

Leadership

Commercial Mindset

Regulated Industries

EUAI Act / ISO 42001 knowledge

AWS Bedrock

Tools

Bedrock

RAG Tooling

Job description

Tech Lead | Applied AI - LegalTech

Salary DoE + EMI Equity - Remote

We have partnered exclusively with an exceptionally well-funded, revenue generating Legal AI scale-up building sophisticated AI products for the global legal industry.

What are we doing?

This isn't another basic chatbot or a superficial API wrapper.

The team has engineered a proprietary agent architecture that enables law firms to analyse and reason over massive volumes of regulated data. From complex medical records to 10,000+ page document sets, their platform generates high-fidelity summaries, answers nuanced questions, and automates workflows that previously took days of manual effort.

With proven product-market fit and commercial revenue already rolling in, they are now scaling.

The Role

As Tech Lead, you will take technical ownership of the AI platform, leading a nimble team of three AI Engineers while remaining deeply hands‑on. You will own architectural decisions, drive technical quality, collaborate with Product and Engineering leadership to shape the roadmap, and pioneer new AI features.

What You’ll Be Working On:

• Production RAG: Architecting robust RAG systems over highly regulated datasets.
• Large-Scale Querying: Document extraction and advanced retrieval across massive payloads.
• Complex Summarisation: Distilling intricate medical and legal documents without losing critical context.
• Agentic Workflows: Designing agent‑based architectures and autonomous case‑handling systems.
• Evaluation & Trust: Developing LLM evaluation frameworks, benchmarking, and automated QA to ensure ironclad reliability in regulated environments.
• Optimisation: Fine‑tuning model performance and infrastructure cost‑efficiency.

The Tech Stack:

• AWS & Amazon Bedrock
• Anthropic Claude & other frontier models
• Advanced RAG & Agent architectures
• LLM Evaluation frameworks & Structured outputs
• .NET / C# (Nice to have, but not essential)

What We're Looking For:

• Shipped Product: A proven track record of moving AI products beyond PoC into production.
• AI Expertise: Deep experience with LLMs, RAG, and complex document understanding.
• Quality Obsessed: Experience evaluating and iterating on LLM outputs (e.g., LLM-as-a-Judge, benchmarking).
• Cloud Native: Strong AWS experience, ideally leveraging Bedrock.
• Leadership Traits: Prior technical leadership experience, or a senior engineer ready to step up.
• Commercial Mindset: Comfortable speaking with customers, holding a startup mentality, and maintaining a strong bias for action.
• Industry Context: Experience in regulated sectors (Legal, HealthTech, InsurTech, FinTech) is a massive bonus.
• Knowledge of: EUAI Act and ISO 42001 (great to have)

What’s on Offer:

• Base Salary: depending on experience
• Flexibility: Remote-first culture
• Healthcare: Comprehensive AXA private healthcare
• Perks: Bonus scheme and EV salary sacrifice scheme both launching soon
• Impact: Genuine ownership of the AI strategy and future team growth in a high‑growth scale‑up

Must be eligible to work in the UK without sponsorship