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Ai engineer ($100k-$250k + equity) at solveintelligence

London
Jack & Jill
Ai engineer
€130,354 a year
Posted: 21h ago
The role

Job Title

AI Engineer

Company

Solveintelligence.com is a $55M backed AI startup with 8 figures of ARR and 20-30% MoM growth, transforming the intellectual property landscape for global giants like DLA Piper with backing from YC, Microsoft, and the founders of Stripe.

Location

London, UK

Salary

$100k-$250k + Equity

Job Overview

Join Solveintelligence.com as a founding AI engineer to build production-ready algorithms and evaluation pipelines for patent generation. You will work directly with PhD founders from UCL and Cambridge to push the boundaries of LLMs, delivering 50-90% efficiency gains for 400+ global IP teams while shipping code at a rapid‑fire pace.

Why this role is remarkable

  • Join an elite team of PhDs and engineers from GCHQ, Dyson, and top AI labs who are building a generational company with significant ownership opportunities.
  • Exceptional traction with 8 figures of ARR and $55M in funding from elite investors such as YC, 20VC, and the founders of Perplexity and Canva.
  • Deep impact over the core product, moving from R&D to production in days rather than months to serve 400+ global enterprise customers and law firms.

Responsibilities

  • Lead the development of proprietary AI algorithms that significantly enhance the quality and accuracy of generated patent documentation and invention harvesting.
  • Architect and maintain a state‑of‑the‑art evaluation pipeline using frameworks like OpenAI evals to benchmark performance on massive intellectual property datasets.
  • Research and implement advanced prompt engineering methods and R&D strategies to maximize the efficacy of large language models within the legal ecosystem.

Qualifications

  • Expert Python developer with over 3 years of industry experience shipping production‑ready algorithms and building robust evaluation pipelines for scale.
  • Proven track record with large language models and prompt engineering, ideally backed by publications at top machine learning conferences such as NeurIPS, ICLR, or ICML.
  • Fast‑moving builder with a strong work ethic and proficiency in backend (PostgreSQL) and frontend (React/TypeScript) technologies to deliver full‑stack AI solutions.
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