Solve Intelligence

Full Stack (Back-End Leaning) at Solve Intelligence (London, United Kingdom)

Solve Intelligence· London, United Kingdom· $100k–$250k·

Role details

Salary
$100k–$250k
Work type
Onsite
Employment
Full-Time

Job description

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 sifted.eu 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:

🚀 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. 🚀

Why work at Solve Intelligence

  • Impact: Work on AI that directly improves patent quality and speed for the world’s top IP teams. The founders are PhDs in machine learning with a track record of publishing at top AI conferences.
  • Team: A mix of AI researchers, software engineers, and patent attorneys – a rare combination that fosters cross-domain learning.
  • Flexibility: Hybrid/remote-friendly roles available; offices in London, New York, and Munich. Some roles are open to “any (new grads ok)”.
  • Compensation: Salaries range from $70K to $250K (depending on role and seniority), plus equity.
  • Culture: Emphasis on trust, transparency, and innovation. The company is Y Combinator-backed and growing fast (43 employees, actively hiring).

Application questions