Full Stack (Back-End Leaning)

Full-timeOn-site$100K-$250K/yr
Londonvia solveintelligence CareersPosted Jun 12, 2026
Match with my CV

Technical skills

ReactTypeScriptPythonSQL

Role signals

UI/UX DesignLegal

About this role

At Solve Intelligence, we arenโ€™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.

๐Ÿ—๏ธ

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 youโ€™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, youโ€™ll work across the stack (Python, Postgres, React) to ensure our research translates into a seamless user experience.

๐Ÿ’ก 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.

๐Ÿ‘‹ 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).

๐Ÿš€ 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.
  • ๐Ÿ› ๏ธ 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.
  • ๐ŸŽ

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. ๐Ÿš€

Before you apply

  • 1Which parts of your CV prove experience with React, TypeScript, and Python?
  • 2Which recent work examples would make your application stronger for this role?
  • 3What details from the original source listing should you confirm before applying?
  • 4Is the listed compensation clear enough, or should you ask about salary range, currency, and benefits?

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