--- title: 'Senior AI Engineer at Rossum' canonical: 'https://feeny.ai/job/senior-ai-engineer-rossum-prague-3xakzcpvd505' type: 'job' last_seen: '2026-09-06' --- # Senior AI Engineer at Rossum - **Company:** Rossum - **Location:** Prague, Czech Republic - **Employment:** full-time - **Work type:** hybrid - **Posted:** 2026-09-01 - **Last confirmed live:** 2026-09-06 - **Apply:** https://jobs.ashbyhq.com/rossum.ai/90a33bac-16fe-4d0c-a691-6a1b7a080cb1 ## Job description ## ABOUT COUPA Coupa is the platform companies run their spending on - sourcing, procurement, invoices, payments, suppliers, contracts. It is the system of record for how large organisations decide what to buy, from whom, and at what price. That makes it one of the most unusual datasets in enterprise software: a single network of 10M+ buyers and suppliers, and $10 trillion of transacted spend to date - quotes, bids, awards, orders, invoices, contracts, and the documents behind every one of them. Multimodal, longitudinal, and tied to outcomes measured in real money. ## ABOUT THE TEAM 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. ## ABOUT THE ROLE 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 - Recommendation and retrieval - Game theory - Forecasting and should-cost modelling - Combinatorial optimization - 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. ## WHAT YOU'LL DO - Design, build, and maintain a scalable, reliable, and cost-effective AI platform in the cloud. - Collaborate with Research to understand model requirements and translate them into scalable infrastructure. - Improve data pipelines, feature storage, experiment tracking, and model lifecycle workflows. - Build tooling that accelerates experimentation, benchmarking, and reproducibility. - Implement monitoring, observability, and reliability improvements across AI services. - Participate in architectural discussions and contribute to long-term platform strategy. - Partner with Product, Research, and other engineering teams to align platform capabilities with product needs. - Maintain clear documentation and support knowledge-sharing across R&D. ## WHO YOU ARE ## MUST-HAVES - 5+ years of experience in product-minded software engineering, ML platform engineering, or infrastructure roles - Proven track record of delivering ML solutions that drive measurable business and customer impact. - Strong programming experience in a language suitable for ML such as Python - Understanding of distributed systems, microservices, and cloud-native architectures. - Experience with SQL databases (query optimization, database performance tuning, and schema design). - Experience with ML tooling (e.g., experiment tracking, model registries, data pipelines). - Strong problem-solving skills and ability to work in cross-functional R&D environments. - Solid understanding of CI/CD, infrastructure-as-code, and observability tooling. - Internal communication in English as a default. ## NICE-TO-HAVES - Experience with training or serving AI/ML models at scale. - Experience with building scalable, automated ETL/ELT pipelines and maintaining robust database architectures (SQL/NoSQL). - Familiarity with data annotation workflows and dataset management. - Experience with GPU workloads, batch/stream processing, or feature stores. - Exposure to Intelligent Document Processing or Deep Neural Network architectures. ## OUR STACK We try to keep our stack standardized and minimal: Python, RabbitMQ, S3, Postgres, Triton Inference Server. All deployed with Kustomize and Flux to a Kubernetes cluster in AWS. ## WHY JOIN US - We train and deploy our own models: Proprietary T-LLM architectures, designed and trained in-house – not a wrapper around someone else's API. - Transaction volume that brings interesting scaling challenges in the cloud. - Real ownership, short path to customers: You frame the problem, choose the method, and see it working in front of buyers – no research-to-product handoff. - Global impact: Technology used every day by companies around the world. - Experiment-driven culture: Pragmatic delivery, and quarterly recognition for standout research contributions. - Compute and tools: Frontier LLMs on tap for your own work, and our high-end GPU and large-memory clusters to train on. - 33 days off: PTO, personal days, your birthday and two company wellness days. Parental leave on top. - Prague, Karlín: Inspiring workspace and full tech setup, including a 200 m² terrace with views of Prague Castle. ## About Rossum ## Company Overview - **One-liner**: Rossum provides an AI-powered intelligent document processing platform that automates transactional document workflows, such as invoices and purchase orders. - **Entity Type**: Private (Series A; $105.5M total funding) - **Headquarters**: London, United Kingdom - **Founded**: 2017 - **Founders**: Tomáš Gogár, Petr Baudiš, Tomáš Tunys ## Core Business - **Primary industry/industries**: Intelligent Document Processing (IDP), Enterprise Automation, Artificial Intelligence - **Target customers**: Enterprise businesses across finance, accounting, and supply chain departments (B2B) - **Mission or purpose statement**: "To enable one person to effortlessly process one million transactions from start to finish, in a year." ## Products & Services - **Rossum Aurora (AI Platform)**: The core cloud-native platform powered by a proprietary Transactional Large Language Model (LLM). It ingests documents via email, scanners, PEPPOL, and shared drives; extracts data with high accuracy; validates and augments data against ERPs and business rules; and triggers automated communications and approvals. - **AI Agents**: Autonomous agents that read documents, capture, validate, transform data, send emails, ask for approval, and write data to ERPs, all in line with standard operating procedures. - **Integrations**: Offers turnkey integrations with SAP, NetSuite, Coupa, Workday, and other major enterprise systems. ## Market Standing - **Valuation/Market Cap**: Not publicly available - **Key Metric**: Total Funding of $105.5M (6 funding rounds); Annual Revenue estimated at $8.0M - **Notable Investors/Partners**: Not disclosed in search results, but company has 200+ partners and integrations. - **Growth Signals**: 200+ employees across 5 global offices (Prague, US, UK, Luxembourg); 450+ customers; recognized as a Leader in the Everest Group Intelligent Document Processing PEAK Assessment 2026; named in the Forrester Wave™: Document Mining And Analytics Platforms, Q2 2024; included in Sifted B2B SaaS Rising 100 (2024); employee headcount grew 12.5% YoY. ## Competitive Advantages - **Proprietary Transactional LLM**: A specialized AI model designed for transactional documents, supporting 276 languages and handwriting, with zero hallucinations and continuous learning from user feedback. - **End-to-End Automation**: Goes beyond simple data capture to include validation, augmentation, workflow approval, automated communications, and direct ERP integration. - **Enterprise-Grade Security**: ISO 27001 certified, HIPAA compliant, with 99.9% uptime SLA and 24/7 support. - **Industry Recognition**: Named a Leader by Everest Group and a Strong Performer by Forrester and IDC MarketScape. ## Strategic Focus - **AI-First Innovation**: Continuously raising the performance bar by capitalizing on the latest advancements in LLMs and Gen AI. - **Global Expansion**: Growing presence in the US, UK, and Luxembourg from its Czech roots. - **Customer Value**: Focus on reducing document chaos and unlocking real-time strategic insights from transactional data for enterprise clients. ## Why Work Here - **Culture**: Values-driven, with a focus on "Strong opinions, weakly held" and data-driven decision-making. Emphasizes autonomy, transparency, and learning from failure. - **Work Model**: Flexible hybrid model (majority of employees prefer this). Headquarters in Prague (Karlín), with offices in the US and remote workers globally. - **Perks**: Stock options, generous holidays, high-end gear, and a commitment to employee well-being. - **Engineering Culture**: Fast-paced, inclusive, and innovative. Employees are empowered to experiment and share learnings across teams. - **Hiring Process**: Transparent and efficient (typically 2-3 weeks), with skills assessments, deep interviews, and a focus on cultural fit. The internal language is English. - **Career Growth**: Strong emphasis on internal mobility and progression; managers actively support career development. ## Sources 1. [rossum.ai/company/](https://rossum.ai/company/) 2. [rossum.ai/](https://rossum.ai/) 3. [rossum.ai/careers/this-is-rossum/](https://rossum.ai/careers/this-is-rossum/) 4. [rossum.ai/careers/how-we-hire/](https://rossum.ai/careers/how-we-hire/) 5. 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