Rossum joined Coupa earlier this year. We brought the document understanding layer - our proprietary T-LLM (transactional LLM) architectures, which we design and train from scratch, and which read the world’s messiest business documents in production, millions of them every week. Now we are pointing the same in-house research capability at a much bigger problem: not just reading the documents, but acting on them.
Sourcing is where the money is actually decided.
We are expanding our AI Platform team in Prague with a Senior AI Platform Engineer to work on a Sourcing problem set – which suppliers get invited. How the event is structured. How bids that differ in price, lead time, quality, risk and carbon get compared at all. What a fair price even is. When to award, to whom, and how to split the award across suppliers. How to do auctions and autonomous bidding.
This broad problem set will not be solved by a single model. Solutions might come from a diverse set of fields
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Recommendation and retrieval
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Forecasting and should-cost modelling
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Combinatorial optimization
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Multimodal document understanding etc.
You will collaborate with researchers to implement these heterogeneous workloads in a scalable production platform in the cloud. At the same time, you will design and develop infrastructure for dataset export, model training, and evaluation to allow Research to move fast.
You will work in a small, senior team of engineers - the group that built Rossum’s production inference pipeline from scratch - with direct access to Product and the AI Research team. Ideas that work do not sit on paper; they roll into systems used at scale.