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For Companies At a Glance
- Tasks: Design and build innovative AI tools that solve real business problems.
- Company: Join Luminance, a pioneering AI company transforming the legal industry.
- Benefits: Enjoy health insurance, a pension scheme, and a learning budget from day one.
- Why this job: Make an impact in the exciting field of AI while working with a talented team.
- Qualifications: Experience in building AI products and strong problem-solving skills are essential.
- Other info: Work in a dynamic startup environment with excellent career growth opportunities.
The predicted salary is between 36000 - 60000 £ per year.
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.
Qualifications
- 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.
AI Product Engineer in London employer: Luminance Technologies Ltd
Contact Detail:
Luminance Technologies Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Product Engineer in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with Luminance employees on LinkedIn. Building relationships can open doors that applications alone can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects or prototypes. When you apply through our website, include links to your work so we can see your problem-solving abilities in action.
✨Tip Number 3
Prepare for interviews by practising common technical questions and scenarios related to AI product engineering. We love seeing candidates who can think on their feet and demonstrate their coding prowess.
✨Tip Number 4
Follow up after your application! A quick message expressing your enthusiasm for the role can make a lasting impression. Remember, we’re looking for self-starters who are genuinely excited about what we do at Luminance.
We think you need these skills to ace AI Product Engineer in London
Some tips for your application 🫡
Show Your Passion for AI: When you're writing your application, let your enthusiasm for AI shine through! We want to see how you’ve engaged with AI tools and what excites you about building innovative solutions. Share any personal projects or experiences that highlight your passion.
Be Clear and Concise: We appreciate straightforward communication, so keep your application clear and to the point. Use bullet points where possible to make it easy for us to see your skills and experiences. Remember, we’re looking for problem-solvers who can communicate effectively!
Tailor Your Application: Make sure to customise your application to reflect the specific role of AI Product Engineer. Highlight relevant experiences and skills that align with our job description. This shows us that you’ve done your homework and are genuinely interested in joining our team.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it makes the whole process smoother for everyone involved.
How to prepare for a job interview at Luminance Technologies Ltd
✨Know Your AI Tools
Make sure you’re well-versed in the latest AI tools and frameworks relevant to the role. Brush up on your knowledge of Python, APIs, and LLMs, as these will likely come up during technical discussions.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've turned vague ideas into functioning prototypes. Be ready to explain your thought process and how you tackled challenges, as this will demonstrate your ability to think critically and creatively.
✨Communicate Clearly
Practice explaining complex technical concepts in simple terms. You’ll need to communicate effectively with both technical and non-technical stakeholders, so being able to break down your work is key.
✨Demonstrate Your Curiosity
Be prepared to discuss how you stay updated with the latest trends in AI and technology. Show your enthusiasm for learning and experimenting, as Luminance values candidates who are willing to iterate and push through challenges.