Applied AI Engineer: Build Real-World Decision Systems

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

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.