Coupa Software
Coupa Software
Coupa Software izstrādā uzņēmumu izdevumu pārvaldības risinājumus, kas palīdz organizācijām pārvaldīt iepirkumu, finanšu, piegādes ķēdes un IT izdevumus. Tās platforma atbalsta rēķinu apstrādi, maksājumus, izdevumu pārvaldību, attiecību ar piegādātājiem pārvaldību un sadarbību piegādes ķēdē. Apvienojot mākslīgo intelektu ar datu sniegtajām atziņām, tā palīdz identificēt ietaupījumu iespējas, uzlabot atbilstību prasībām un samazināt darbības riskus. Coupa apkalpo dažādu nozaru organizācijas, tostarp autobūves, veselības aprūpes, mazumtirdzniecības, loģistikas un konsultāciju uzņēmumus, bet tās partneru un klientu kopiena veidota, lai veicinātu efektīvāku un noturīgāku uzņēmējdarbību.

Senior AI Engineer, Prague (Hybrid)

Build and scale cloud infrastructure for Coupa’s AI platform, supporting model training, evaluation, and production workloads. Partner with Research and engineering teams to improve sourcing decisions through reliable, scalable AI systems.

Apraksts

  • Build and operate a reliable, scalable, and cost-conscious cloud AI platform
  • Translate Research model requirements into production-ready infrastructure
  • Strengthen data pipelines, feature storage, experiment tracking, and model lifecycle processes
  • Create tools that speed up experimentation, benchmarking, and reproducible results
  • Advance monitoring, observability, and reliability across AI services
  • Shape architectural decisions and contribute to the platform’s long-term direction
  • Coordinate with Product, Research, and engineering teams to match platform capabilities to product requirements
  • Document systems clearly and promote knowledge sharing across R&D
  • Run varied sourcing workloads on a scalable production cloud platform
  • Develop infrastructure for dataset export, model training, and evaluation
  • Collaborate within a small senior engineering team with direct access to Product and AI Research
  • Turn new ideas into systems that operate at scale

Prasības

  • At least five years of experience in product-focused software engineering, ML platform engineering, or infrastructure roles
  • A record of delivering machine learning solutions with measurable business and customer impact
  • Strong programming skills in an ML-suitable language such as Python
  • Working knowledge of distributed systems, microservices, and cloud-native architecture
  • Experience with SQL databases, including query optimization, performance tuning, and schema design
  • Hands-on experience with ML tooling such as experiment tracking, model registries, and data pipelines
  • Strong analytical and problem-solving ability in cross-functional R&D settings
  • Solid knowledge of CI/CD, infrastructure as code, and observability tools
  • Professional communication in English as the default internal language
  • Experience training or serving AI and ML models at scale
  • Experience creating automated, scalable ETL or ELT pipelines and maintaining robust SQL and NoSQL database architectures
  • Familiarity with data annotation processes and dataset management
  • Experience with GPU workloads, batch or stream processing, or feature stores
  • Exposure to Intelligent Document Processing or deep neural network architectures

Priekšrocības

  • 33 days of leave, including PTO, personal days, your birthday, and two company wellness days
  • Additional parental leave
  • Access to frontier LLMs for your work
  • High-end GPUs and large-memory clusters
  • An inspiring workspace with a complete technology setup
  • A 200-square-meter terrace overlooking Prague Castle
  • Two paid company-wide wellness days each year
  • A paid day off on your birthday or another day during your birthday month
  • 40 hours of paid volunteer leave annually
  • A free, confidential Employee Assistance Program available 24/7/365
  • Business travel protection through Zurich Travel Assist
  • Cash referral bonuses for successful referrals
  • Location-specific medical and dental insurance, retirement or pension plans, and life or accident coverage

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