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AI Product Engineer

Luminance

City Of London

On-site

GBP 80,000 - 100,000

Full time

Yesterday
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Job summary

A pioneering legal technology firm in central London seeks an ambitious AI Product Engineer to own the development of impactful AI tools. The successful candidate will design and prototype AI systems, converting abstract ideas into functional software. We value self-starters with strong technical skills in Python and familiarity with AI models. Join us at the cutting edge of applied AI in law, working in a collaborative startup environment backed by leading VCs.

Benefits

Health insurance
Pension scheme
Paid sabbatical opportunities
Learning and development budget

Qualifications

  • Demonstrable ability to build AI-enabled products or prototypes.
  • Strong problem-solving skills to translate vague challenges into working code.
  • Familiarity with LLMs and experience integrating them into real systems.

Responsibilities

  • Design, prototype, and ship AI systems that solve business problems.
  • Translate abstract requirements into functioning prototypes.
  • Continuously evaluate new AI models, frameworks, and tools.

Skills

AI product development
Problem-solving
Technical literacy
Communication skills
Curiosity

Tools

Python
APIs
Full-stack frameworks
JSON
Job description
About Us

This is a fantastic opportunity to join Luminance, the pioneer of Legal-Grade AI for enterprise. Backed by internationally renowned VCs and named in both the Forbes AI 50 list of ‘Most Promising Private AI Companies in the World’ and Inc. 5000’s ‘Fastest Growing Companies in America’, Luminance is disrupting the legal profession around the globe.

We are looking for an ambitious AI Product Engineer to take on end-to-end ownership of high-impact AI tools. This is not a narrowly defined development role: the successful candidate will act as builder, product thinker, and problem-solver, capable of turning ambiguous ideas into deployed, business-critical software. A traditional computer science degree is not a requirement; we are interested in self-starters with the ability to utilise the latest AI tools to build at pace.

Key Roles and Responsibilities
  • Design, prototype, and ship agentic AI systems that solve strategic business problems.
  • Quickly translate abstract requirements into functioning prototypes, then sprint to drive them into production use.
  • Debug and resolve complex issues across the stack, from AI model behaviour to middleware to deployment configuration.
  • Demo your work across the company and contribute to internal narratives around innovation.
  • Produce clear documentation and rollout plans for new tools, ensuring adoption by users.
  • Continuously evaluate new AI models, frameworks, and coding tools to improve speed and quality.
  • Demonstrable ability to build and ship AI-enabled products or prototypes (professional, academic, or self-taught).
  • Strong problem-solving skills: able to reduce vague, underspecified challenges into working code and clear workflows.
  • Broad technical literacy: comfortable working with Python, APIs, full-stack frameworks, JSON
  • Familiarity with LLMs: understanding their capabilities and limitations, and experience integrating them into real systems.
  • Excellent communication skills: able to work with executives, stakeholders, and non-technical users.
  • Curiosity, persistence, and creativity: willing to experiment, iterate, and push through when things don’t work first time.
Why Luminance?
  • Work at the cutting edge of applied AI in law, one of the world’s most impactful domains.
  • Collaborate with a world-class, multidisciplinary team spanning law, AI research, and product.
  • Enjoy the autonomy of a startup environment with the backing of leading international VCs.
  • Central London office location.
  • Pension scheme with Aegon, RetireReady.
  • Health insurance with BUPA - all employees are eligible for enrolment for themselves and partners and dependents (if applicable) from Day 1 with Luminance.
  • Life Insurance scheme subsidised by Luminance.
  • Paid sabbatical opportunities.
  • Enhanced maternity and paternity policies – to support working parents.
  • Learning and development budget per employee to empower our team members to elevate their potential.
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