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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 leading AI company transforming the legal industry.
- Benefits: Enjoy health insurance, pension schemes, and a learning budget from day one.
- Why this job: Be at the forefront of AI in law and make a significant impact.
- Qualifications: Experience in building AI products and strong problem-solving skills required.
- 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 City of 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 City of London
✨Tip Number 1
Network like a pro! Reach out to people in the AI and legal tech space on LinkedIn or at industry events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, prototypes, or any relevant work. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for those interviews! Research Luminance and understand their products. Be ready to discuss how your experience aligns with their mission and how you can contribute to their innovative team.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our awesome team.
We think you need these skills to ace AI Product Engineer in City of London
Some tips for your application 🫡
Show Your Passion for AI: When 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.
Tailor Your Application: Make sure to customise your application to reflect the specific role of AI Product Engineer. Highlight relevant skills and experiences that align with our needs, like your problem-solving abilities and technical literacy. This shows us you’re serious about joining our team!
Be Clear and Concise: We appreciate clarity in applications. Use straightforward language and avoid jargon where possible. Make it easy for us to understand your journey and how you can contribute to our mission at Luminance. A well-structured application goes a long way!
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 helps us keep everything organised as we review applications.
How to prepare for a job interview at Luminance Technologies Ltd
✨Know Your AI Tools
Familiarise yourself with the latest AI tools and frameworks relevant to the role. Be ready to discuss how you've used them in past projects or personal experiments. This shows your hands-on experience and passion for the field.
✨Showcase Problem-Solving Skills
Prepare examples of how you've tackled complex problems in your previous work. Break down your thought process and demonstrate how you turned vague challenges into clear, actionable solutions. This will highlight your critical thinking abilities.
✨Communicate Clearly
Practice explaining technical concepts in simple terms. You’ll likely need to communicate with non-technical stakeholders, so being able to articulate your ideas clearly is crucial. Consider doing mock interviews with friends to refine this skill.
✨Demonstrate Curiosity and Creativity
Be prepared to discuss how you stay updated on AI trends and your willingness to experiment with new ideas. Share instances where you’ve iterated on a project or pushed through challenges, showcasing your persistence and innovative mindset.