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.
We’re a Y Combinator-backed (W24) startup with strong funding and support from top-tier investors (General Catalyst, Samsung Next, Soma Capital, and founders of Airtable and Handshake).
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. We graduated from Y Combinator in Winter 2024.
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.
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 spikes.
In this role, you will get:
Upsolve AI is the analytics platform for deploying governed, grounded, and trustworthy data agents that know your business. Data teams use Upsolve's Agent Studio to get to AI-ready data foundations fast, unify and curate their context layer, and test, tune and monitor their Upsolve Data Agent to their benchmark. The company is founded by Ka Ling Wu and Serguei Balanovich, who built a similar product at Palantir before (featured in Palantir's S-1), growing it to 50+ enterprise customers and 8-figures of annual revenue in 2 years.
Equity
1% - 3%
Location
London, England, GB
Experience
6+ years
Total raised
$500K
Last stage
Seed
Investors
No applications, no recruiter spam. Just the intro.
A few questions to make sure this role is the right shape for you. Two minutes.
I write the intro, send it to the founder, and handle the back-and-forth.
If they’re a yes, I book the chat. You show up — that’s the whole job-hunt.