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Vacantes / Solveintelligence

Full Stack (Back-End Leaning)

Solveintelligence·Londonmid$8,333–$20,833 USD/mo

En corto

  • →Desarrollar algoritmos de IA de vanguardia para patentar invenciones con alto impacto productivo.
  • →Construir pipelines de evaluación escalables y probar técnicas de ingeniería de prompts avanzadas.
  • →Trabajar directamente con fundadores de IA PhDs en una startup con gran crecimiento y financiamiento reciente.

Clear communication in English is required.

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¿Qué piden?

  • ✓Experto en Python para soluciones de IA.
  • ✓Experiencia probada desplegando algoritmos o pipelines en producción.
  • ✓Dominio práctico de LLMs y ingeniería de prompts.
  • ✓Conocimiento del stack completo (Postgres, TypeScript, React).
  • ✓Capacidad de comunicar decisiones técnicas complejas con claridad.
  • ✓Capacidad de trabajar en entorno de alto ritmo y responsabilidad extrema.

¿No cumplís todo? Es lo normal — tu dossier gratis te dice qué gaps tenés y cómo cubrirlos en la entrevista.

PythonPostgresTypeScriptReactLLMsOpenAI EvalsAI algorithmsevaluation pipelinesprompt engineeringproduction deployment

¿A quién escribirle en Solveintelligence?

Tu dossier gratis identifica a las personas que te entrevistarían — con su background, qué valoran y cómo escribirles para destacar antes de aplicar.

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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