Startup jobs in United Kingdom

At Upsolve AI, we’re building the AI‑native BI platform from first principles. We’ve already built the foundation: a modern embedded analytics platform designed to work seamlessly with LLMs and agentic systems. Now, we’re going all in on building the next generation of agentic data analysis – think “Cursor for data analytics,” integrated directly into any BI and reporting stack and designed to be embedded into our customers’ products.

Ka Ling Wu, Co‑founder & CEO, previously led product solution development at nPlan, a Series A AI & Construction tech startup, and before that spent four years at Palantir, where she spearheaded HyperAuto and launched Palantir’s Korea operation.

Serguei Balanovich, Co‑founder & CTO, spent seven years at Palantir pioneering early supply‑chain and manufacturing work and productizing it into HyperAuto.

Together, we bring over 15 years of experience in data engineering and analytics, taking Palantir’s HyperAuto from inception to launch, scaling it to more than 50 enterprise customers in under 2.5 years, and having it featured in Palantir’s DPO S‑1.

This role is a key hire for Upsolve AI today. We have doubled down on building our agentic data analysis platform, and the quality of our agent performance will determine the trajectory of the business.

As our founding AI engineer, you’ll work directly with the CTO to design and ship real‑world LLM/agent solutions. You’ll run experiments, evaluate outcomes, and set product direction based on what proves successful. You won’t just write code; you’ll be the deciding voice for what we build, how we build it, and why.

This is not a research role. It’s a high‑impact product engineering role in forward‑deployed style where your work ships into production and is used by customers daily.

• Designing, prototyping, and deploying agentic LLM systems into production with real customer workloads.
• Running experiments to explore architectures, frameworks, and approaches – and driving product direction from their results.
• Building evaluation, observability, and improvement pipelines for agent quality and reliability.
• Integrating with our modern BI platform and customer‑facing workflows.
• Establishing best practices for LLM/agent development, from tooling to performance monitoring.
• Embedding and collaborating directly with users and customers to validate what “good” looks like in production.

• 7+ years of engineering experience, including deep experience shipping production LLM systems.
• 2+ years track record of building agentic or multi‑step reasoning systems that work in complex, real‑world environments.
• Strong command of modern AI/LLM tooling (LangChain, Mastra, DSPy, vector DBs, eval frameworks, observability, OpenAI/Anthropic APIs, fine‑tuning).
• Strong engineering ability (TypeScript preferred).
• Experience with databases, data warehouses, data systems, data connections, and big data engineering/analytics.
• Product mindset: ability to make opinionated calls, weigh trade‑offs, and push for what delivers real customer value.
• Comfort working in an early‑stage environment: high ownership, ambiguity, and rapid iteration.

At Upsolve AI, we operate like a high‑performance sports team. Hard work is required for success, but when we move together, we don’t just win games, we win championships. We despise bureaucracy and redundant process. Everyone here is a builder who rolls up their sleeves. We value ownership and trust: the person closest to the problem has the authority to solve it. We believe each team member brings a unique strength, and we shape our work to amplify those strengths.

• Impact: This is a defining role. You’ll be shaping the core AI product that determines our product trajectory.
• Upside: Competitive salary plus founding‑level equity.
• Culture: Low bureaucracy, high trust, and high ownership.
• Hybrid flexibility: Our office is in Shoreditch, and we prefer to work together face‑to‑face when possible because we believe that’s how magic happens. That said, we highly value flexibility and working from home one or two days a week is no problem.

• Salary range of £100k–140k / 1–3% equity (depending on experience and package).
• Opportunity to work with an elite team of entrepreneurs and engineers.
• Take‑what‑you‑need holiday policy: startup life is intense, and we want you to have the agency to rest and recharge.
• Location: Central London office with flexible hybrid work.

Mid‑Senior level

Full‑time

Engineering and Information Technology; Industries: Software Development