Founding AI Engineer

Get Hive; Greater London; Hybrid; GBP 90,000 - 135,000; Full time

Benefits offered by this job

Meaningful work

Ownership of work

Live deployments

Advanced tooling

Early joining

Job summary

Get Hive in London is building the intelligence layer that helps firms understand how they work, learn from human judgement and scale safely. You will contribute to context, memory and decision intelligence powering Hive's agents.

Join a small, high-energy team that ships applied AI into live accounting, legal and advisory workflows every week, with real ownership from day one and a platform designed for meaningful impact.

Qualifications

• 3+ years of experience building production-grade machine-learning, data or LLM-powered systems.
• Strong experience with Python, data engineering, retrieval, LLM applications and evaluation.
• Master's degree in Computer Science, ML, Data Science, Mathematics, Physics or related field.
• Experience moving AI from prototype into dependable production software.
• You care about useful, reliable systems in customers' hands, not just demos.

Responsibilities

• Build the context, memory and evaluation systems behind Hive's agents.
• Turn messy operational data, documents and workflows into reliable context.
• Create evaluation harnesses that prove a workflow is production-ready.
• Choose and route models pragmatically, building the context layer Hive owns.

Skills

Production-grade ML systems

Python

LLM applications

Data engineering

Education

Master's degree in Computer Science or related quantitative field

Tools

Data engineering

Retrieval

Evaluation

LLM tooling

Job description

The models are available to everyone. What makes Hive valuable is the context, memory and decision intelligence it builds with each firm.

You will create the intelligence layer that helps Hive understand how a firm works, learn from human judgement and safely take on more over time. This is applied AI with a very real destination: better work, happening in the real world.

What you'll do

• Build the context, memory and evaluation systems behind Hive's agents.
• Turn messy operational data, documents and workflows into reliable, usable context.
• Create evaluation harnesses that prove a workflow is ready before it earns more autonomy.
• Choose and route models pragmatically, using the best model for the job while building the context layer Hive owns.
• Ship applied AI into live accounting, legal and advisory workflows every week.

What you bring

• 3+ years of experience building production-grade machine-learning, data or LLM-powered systems.
• Strong experience with Python, data engineering, retrieval, LLM applications and evaluation.
• A Master's degree in Computer Science, Machine Learning, Data Science, Mathematics, Physics or a related quantitative field.
• Experience moving AI from prototype into dependable production software.
• You care about useful, reliable systems in customers' hands, not just impressive demos.

How we work

We are building something ambitious with a small, high-energy team, and everyone has a real seat at the table. We move quickly, care about doing great work and give people the trust and space to make things happen.

There is little hierarchy, no endless approval loops and plenty of room for good ideas, healthy debate and laughter along the way. We work closely, learn fast and celebrate the wins, big and small.

What we offer

• Build something meaningful, together. Work with smart, kind people who care about doing great things and enjoy the ride along the way.
• Real ownership. Your work shapes the product from day one, and you will have the trust to make meaningful decisions.
• Work that goes live. Build for real firms using Hive on real workflows, not a demo graveyard.
• Exceptional tools. Frontier models, great tooling and the freedom to use what helps you do your best work.
• A front-row seat. Early hires help define the product, culture and company. As Hive grows, so does your scope.