Full Stack (Back-End Leaning)

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

• 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

• 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

• 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?

Compensation: $100K – $250K

• $100K – $250K

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