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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 a learning budget from day one.
- Why this job: Make an impact in the legal field with cutting-edge AI technology.
- Qualifications: No degree required; just bring your coding skills and problem-solving mindset.
- 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.
- 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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AI Product Engineer employer: Luminance
Contact Detail:
Luminance Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Product Engineer
✨Tip Number 1
Get your hands dirty with AI projects! Whether it's a personal project or something from your studies, show us what you've built. We love seeing prototypes that demonstrate your problem-solving skills and creativity.
✨Tip Number 2
Network like a pro! Connect with folks in the AI and tech space, attend meetups, and engage on platforms like LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly to us at Luminance.
✨Tip Number 3
Prepare for those interviews by practising your demos! Be ready to showcase your work and explain your thought process. We want to see how you tackle challenges and turn ideas into reality, so make sure you're confident in presenting your projects.
✨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 us you're genuinely interested in joining our innovative team at Luminance.
We think you need these skills to ace AI Product Engineer
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 products. Share any personal projects or experiences that highlight your passion.
Be Clear and Concise: Keep your application straightforward and to the point. We appreciate clarity, so make sure to articulate your skills and experiences without unnecessary fluff. Use bullet points if it helps to break down your achievements!
Tailor Your Application: Make sure to customise your application for the AI Product Engineer role. Highlight relevant experiences and skills that align with the job description. Show us how you can tackle the challenges we face and contribute to our mission.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team at Luminance!
How to prepare for a job interview at Luminance
✨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 or studies. Break down your thought process and demonstrate how you turned vague challenges into clear, actionable solutions. This will highlight your ability to think critically and creatively.
✨Communicate Clearly
Practice explaining technical concepts in simple terms. Since you'll be working with non-technical users and executives, being able to communicate effectively is key. Consider doing mock interviews with friends to refine your communication style.
✨Demonstrate Curiosity and Adaptability
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 learned from failure, as this reflects the persistence and creativity that Luminance values.
