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Solveintelligence

Full Stack (Back-End Leaning)

  • Seen live on Solveintelligence's site 3 days ago
  • Mid level
Pay
$100k to $250k a year USD
Location
London
Open for
11+ days
First seen
Oct 24, 2026

Posting record

No flags

Open 11+ days

The posting's record, oldest first
  1. Solveintelligence's site dates the posting
  2. Ghostless first sees this listing
  3. Last checked: still up
How we know

It hasn't been reposted, listed twice, or left up unusually long, and the posting doesn't say it's a talent pool.

Ghostless records the day it first sees a posting, so a repost can't reset its age. This one was already up when Ghostless started tracking Solveintelligence, so its true age is longer.

Last checked Nov 1, 2026.

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What it asks of you

PhD asked for
“Sanj (CRO): PhD in AI (Gatsby Unit, UCL), ex-Huawei R&D, former lead at Magic Carpet AI (acquired).” (quoted from the posting)

What the posting discloses

Pay
$100k to $250k a year USD

Not stated: Real vacancy, AI screening.

Why these three

Ontario requires postings from employers with 25 or more staff to state the pay, whether the vacancy exists, and whether AI screens applicants.

Skills mentioned

About the role

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. 🚀

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