Probably the worst interview experience I’ve ever had. Initial call with one of their member of technical staff and then they send you a take home assessment to build a Q&A agent based on the ConvFinQA financial dataset released in a 2023 paper.
You are asked to use a different approach than the DSL approach used in the original paper. They are likely expecting an agentic approach. It is ridiculous that they don’t even provide a temporary API key for LLM costs but expect you to do extensive testing with frontier models and beat the score achieved in the paper to pass the interview. This can cost $10-$20 and they expect you to swallow it with no guarantee of even any feedback. They advise you to handwrite the final report with little to no AI assistance if you want to pass this assessment. Again a ridiculous idea given the assessment is already too much as it can take two full days of work even with AI.
The worst part for me was that the agentic solution I built achieved a score well over that of the paper and I wasn’t even given any feedback on why my solution was rejected. They just seem to be establishing a database disguised as a technical assessment. Great way to get unpaid work done. They don’t seem to give a damn about candidates’ time and effort.
Incredibly frustrating and I wanted future candidates to know about my experience.
Interview questions [1]
Question 1
Build a conversational assistant based on a financial dataset.
Long drawn out assignment with high expectations. They give you a dataset from a research paper and expect a full solution based that could go into production - no api key given! It's not hard but equally it is very time consuming for what they are looking after. In reality, they are just a bunch of prompt engineers with no actual fine tuning or sophistication when it comes to the heart of the solution.
I applied through a staffing agency. The process took 2 weeks. I interviewed at Tomoro AI (London, England) in Mar 2026
Interview
1st round: initial screening
2nd round: take home challenge which involved building a chat bot which can answer questions based on financial documents. The final result is assessed on LLM accuracy.
3rd round: some LLM theory warm up questions + AI production Systems design architecture drawing and live code challenge for LLM orchestration
Top companies for "Compensation and Benefits" near you