Full Stack (Back-End Leaning)

Solveintelligence; Greater London; On-site; GBP 78,000 - 195,000; Full time

Benefits offered by this job

Equity stake

Growth opportunity

Visa sponsorship

Free meals & London office

Job summary

Solve Intelligence is seeking a Full Stack Engineer to help us build state-of-the-art AI products and push the boundaries of what is possible with LLMs.

You’ll own production-ready AI, robust evaluation pipelines, and advanced prompt engineering, while contributing across the stack (Python, Postgres, React) to translate research into a seamless user experience.

We offer competitive salary plus significant equity, visa sponsorship, private medical insurance, and a high‑performance London office.

Qualifications

• Deep experience building and shipping AI solutions in production.
• History of shipping algorithms and evaluation pipelines.
• Hands-on with prompt engineering and modern LLM architectures.
• Familiarity with Postgres, TypeScript and React.
• Strong communication of complex technical decisions.

Responsibilities

• Develop and deploy proprietary AI algorithms for patent generation.
• Build a high-scale evaluation framework for models.
• Research and implement cutting-edge prompts for model efficacy.
• Collaborate across the stack (Python, Postgres, React) to ship research to users.

Skills

Expert Python Skills

Production Experience

LLM Mastery

Technical Versatility

Clear Communication

Tools

Postgres

TypeScript

React

Job description

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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