11 сен

ai engineer in payments

ориентир по рынку
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в среднем 293 851 ₽
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описание

Planet is a technology company transforming payments through integrated payment processing, VAT refunds, dynamic currency conversion, and management services for Retail and Hospitality merchants worldwide.

задачи

  • Design and build production-grade AI workflows integrating HR, Finance, Operations, and CRM systems;
  • Implement orchestration logic with triggers, retries, fallbacks, and human-in-the-loop patterns;
  • Develop and maintain AI agents, prompts, retrieval pipelines, and decision logic;
  • Own model behaviour in production, including accuracy, usefulness, failure modes, and edge-case handling;
  • Improve model performance through evaluation frameworks, feedback loops, and real-world usage data;
  • Define and track success metrics such as accuracy, resolution rate, and time saved;
  • Diagnose poor outcomes and close the gap between technical operation and business results;
  • Partner with Data Engineering on shared platforms, infrastructure, CI/CD, data pipelines, security, and governance;
  • Contribute to shared standards, schemas, and best practices for AI systems.

требования

  • Strong software engineering background with Python or similar;
  • Track record of building production systems, not just prototypes;
  • Hands-on experience with AI/ML systems, including LLMs, classifiers, decision models, or similar;
  • Experience integrating APIs and working with distributed systems;
  • Experience designing prompts, retrieval pipelines, or ML inference workflows;
  • Understanding of model evaluation, monitoring, and feedback loops;
  • Comfortable working with structured and unstructured data;
  • Product-oriented approach focused on production outcomes;
  • Comfortable owning ambiguity and making trade-offs;
  • English;
  • Nice to have: workflow orchestration tools such as Temporal, Airflow, or Step Functions; experience building internal tools or agents; familiarity with regulated or enterprise environments; exposure to MLOps or AI evaluation frameworks.

условия

  • Hybrid work model with three days a week in the office;
  • Equal opportunity employer that values diversity.

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