Solve IntelligenceFull Stack (Back-End Leaning)
Solve Intelligence is hiring a Full Stack (Back-End Leaning) in London, United Kingdom. It pays $100k-$250k a year and Level rates it ; you can apply on Solve Intelligence.
Level's read on this job
- Level rates this role Builds AI ●●●●: the job is building AI systems.
- The posting mentions visa sponsorship.
- The posting mentions OpenAI, Python and Postgres among its tools and skills.
- Level classes it as a senior role.
- Solve Intelligence has 17 other open roles on Level.
AI in this role
Build state-of-the-art AI products, proprietary algorithms, and evaluation pipelines for patent generation.
At Solve Intelligence, we aren’t just "using" AI - we are building the proprietary algorithms that define the future of Intellectual Property. We have real paying users, massive traction, and a mission to build a billion-dollar company.
🏗️ The Role: Full Stack Engineer. (Back-End Leaning)
We are looking for a super-talented engineer to help us build state-of-the-art AI products extremely fast. You will lead the development of algorithms that push the envelope of what is possible with LLMs.
What you’ll own:
Production-Ready AI: Develop and deploy proprietary algorithms that significantly increase the quality of generated patents.
SOTA Evaluation Pipelines: Build a robust, high-scale evaluation framework to benchmark our proprietary models and steer the direction of our R&D.
Advanced Prompt Engineering: Research and implement cutting-edge prompting methods to maximize model efficacy.
Full-Stack Impact: While focused on AI, you’ll work across the stack (Python, Postgres, React) to ensure our research translates into a seamless user experience.
💡 About Solve Intelligence
We are the fastest-growing startup transforming the IP landscape. Our AI platform manages everything from invention harvesting to patent generation.
Growth: 20-30% MoM revenue growth; selling to 600+ global IP teams (DLA Piper, tech giants, and boutiques).
Impact: Users report 50-90% efficiency improvements.
Backing: Recently featured in Sifted following our $40M Series B announcement, bringing our total funding to $55M from elite investors including Y Combinator, 20VC, Visionaries and others.
👋 Co-Founders & Team
You will work directly with a founding team of AI PhDs and elite engineers:
Sanj (CRO): PhD in AI (Gatsby Unit, UCL), ex-Huawei R&D, former lead at Magic Carpet AI (acquired).
Chris (CEO): PhD in AI (UCL), published researcher, ex-Dyson and Alan Turing Institute.
Angus (CTO): MEng Computer Science, ex-Qualcomm and Coremont (Brevan Howard).
🚀 Who You Are
We are a young company of highly motivated "hackers" building at a relentless pace.
Speed is your default: You want to put things in the hands of customers in days, not months.
You are a grinder: You have a strong work ethic and are willing to go the extra mile (long nights/weekends) to achieve excellence.
You are an optimist: You thrive in a high-energy, positive environment and take extreme ownership of your outcomes.
🛠️ What You Bring
Must-Haves:
Expert Python Skills: Deep experience building and shipping AI solutions.
Production Experience: A history of shipping algorithms and/or evaluation pipelines into live environments.
LLM Mastery: Practical experience with prompt engineering and modern LLM architectures.
Technical Versatility: Familiarity with the full stack (Postgres, TypeScript, React).
Clear Communication: Ability to articulate complex technical decisions clearly.
Nice-to-Haves:
Publications at top ML conferences (NeurIPS, ICLR, ICML).
Familiarity with frameworks like OpenAI Evals.
A history of interesting GitHub contributions or "impressively difficult" side projects.
🎁 What We Offer
Competitive Salary + Significant Equity: We want you to have true ownership in our success.
Growth: Opportunity to work with a world-class team on a genuine rocket ship trajectory.
Support: Full visa sponsorship and private medical insurance.
The Goods: Free meals and a high-performance office culture in London.
Ready to build the future of AI? Apply now. 🚀
How we rate this
Full Stack (Back-End Leaning) at Solve Intelligence rates 85 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.
Builds AI. The job is building AI systems.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- How do you structure and test a prompt to get consistent output from a language model?
- Tell me about a project where full stack was part of your work. What did you do?
- Tell me about a project where algorithms was part of your work. What did you do?
- How do you decide that one model's output is better than another's for a given task?
- Walk me through how you've used OpenAI in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Prompt engineering, Full Stack, Algorithms, AI Evaluation, and OpenAI. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.
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