Full Stack (Back-End Leaning)
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- Work arrangement
- onsite
- Employment
- FullTime
- Stated compensation
- USD 100,000–250,000 1 YEAR
- Stated sponsorship
- Available
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Requirements
2 with evidence7 unclear or unstated- Remote policy
- onsite
“Provider workplace type: onsite”
From employer posting metadata - Employer sponsorship
- available
“Support: Full visa sponsorship and private medical insurance.”
See matched passage in original description ↓ - Employment type
- FullTime
- Compensation
- USD 100,000–250,000 1 YEAR
7 fields not stated in this posting
- Geographic scope
- Not specified
- Degree requirement
- Not specified
- Security clearance
- Not mentioned
- Timezone / hours
- Not specified
- Citizenship requirement
- Not mentioned
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Original job description
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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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