2 months ago
Prague, CzechiaStaff+
Responsibilities
- Lead the design, implementation, and maintenance of scalable, reliable, and cost-effective AI platform solutions in the cloud.
- Translate AI Research model requirements into scalable infrastructure and production systems.
- Improve data pipelines, feature storage, experiment tracking, and model lifecycle workflows.
- Build tooling for experimentation, benchmarking, and reproducibility.
- Implement monitoring, observability, and reliability improvements across AI services.
- Contribute to architecture discussions, long-term platform strategy, and cross-functional alignment with Product and Research.
- Maintain documentation and support knowledge-sharing across R&D.
Requirements
- 5+ years of experience in product-minded software engineering, ML platform engineering, or infrastructure roles.
- Demonstrated ability to lead technical teams, maintain focus, and navigate challenging situations.
- Proven delivery of ML solutions with measurable business and customer impact.
- Strong programming experience in Python or another language suitable for ML.
- Understanding of distributed systems, microservices, and cloud-native architectures.
- Experience with SQL databases, including query optimization, performance tuning, and schema design.
- Experience with ML tooling such as experiment tracking, model registries, and data pipelines.
- Strong problem-solving skills and experience working in cross-functional R&D environments.
- Understanding of CI/CD, infrastructure-as-code, and observability tooling.
- Experience training or serving AI/ML models at scale is preferred.
- Experience with scalable automated ETL/ELT pipelines, SQL/NoSQL database architectures, data annotation, dataset management, GPU workloads, batch or stream processing, or feature stores is preferred.
- Exposure to Intelligent Document Processing or Deep Neural Network architectures is preferred.
- Professional internal communication in English.
Benefits
- 33 days off including PTO, personal days, a birthday day, and two company wellness days.
- Parental leave in addition to the standard time-off allowance.
- Prague Karlín workspace with full technology setup and a 200 m² terrace.
- Access to frontier LLMs, high-end GPUs, and large-memory clusters for training.
- Opportunity to work on proprietary in-house T-LLM architectures and systems used globally.
Tech Stack
Categories
About Rossum
Rossum builds an AI-driven intelligent document processing platform used by enterprises to capture, extract, and validate data from invoices and other transactional documents, often for Accounts Payable workflows. Delivered as SaaS with integrations to systems like SAP, NetSuite, Coupa, and Workday, it combines a proprietary transactional LLM with human-in-the-loop review. Founded in 2017 and headquartered in London, Rossum is now part of Coupa.