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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 leader in Legal-Grade AI backed by top VCs.
- Benefits: Enjoy health insurance, pension scheme, and paid sabbaticals from Day 1.
- Why this job: Make an impact in the legal field with cutting-edge AI technology.
- Qualifications: Experience in building AI products; strong problem-solving and communication skills.
- Other info: Work in a dynamic startup environment with excellent 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.
Requirements
- 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.
Benefits
- 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
Contact Detail:
Luminance Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Product Engineer in London
✨Tip Number 1
Get your hands dirty with some real projects! Build a portfolio showcasing your AI prototypes and tools. This will not only demonstrate your skills but also give you something tangible to discuss during interviews.
✨Tip Number 2
Network like a pro! Attend AI and tech meetups, webinars, or workshops. Engaging with industry professionals can open doors and provide insights that might just give you the edge in your job search.
✨Tip Number 3
Practice your pitch! Be ready to explain your projects and thought processes clearly. Remember, communication is key, especially when discussing complex AI concepts with non-technical folks.
✨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 team 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 writing your application, let your enthusiasm for AI shine through! We want to see how you’ve engaged with AI tools and technologies, whether through projects, self-learning, or previous roles. Make it personal and relatable!
Be Clear and Concise: We appreciate straightforward communication. Keep your application clear and to the point. Highlight your relevant experience and skills without unnecessary fluff. Remember, we’re looking for problem-solvers who can get to the heart of the matter quickly!
Tailor Your Application: Don’t just send a generic application! Take the time to tailor your CV and cover letter to reflect the specific requirements of the AI Product Engineer role. Show us how your unique background makes you the perfect fit for our team at Luminance.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re serious about joining our innovative team at Luminance!
How to prepare for a job interview at Luminance
✨Know Your AI Tools
Make sure you’re well-versed in the latest AI tools and frameworks. Brush up on your knowledge of LLMs and be ready to discuss how you've integrated them into projects. This will show that you’re not just a coder, but a product thinker who understands the bigger picture.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in previous projects and how you tackled them. Use the STAR method (Situation, Task, Action, Result) to structure your answers. This will demonstrate your ability to break down complex problems and find effective solutions.
✨Communicate Clearly
Since you'll be working with both technical and non-technical stakeholders, practice explaining your work in simple terms. Be ready to demo your prototypes and articulate their value. Good communication can set you apart from other candidates.
✨Embrace Curiosity and Creativity
Luminance values innovation, so come prepared with examples of how you've experimented with new ideas or technologies. Share any instances where you pushed through challenges and iterated on your work. This shows you're not afraid to take risks and learn from failures.