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AI Engineer - Enterprise AI Products

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вакансия зп не указана
в среднем 361 349 ₽
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описание

Citi’s Enterprise AI Products team builds AI solutions for the wider bank, including capabilities for data sharing across agent ecosystems, new Agentic AI use cases, and purpose-built tooling for modern AI architecture.

задачи

  • Own and lead technical components end-to-end, ensuring alignment with business and product objectives
  • Work with senior business and technology stakeholders to understand problems and translate them into technical solutions
  • Shape product roadmaps, technical strategy, and priorities with the team lead and wider stakeholders
  • Design, develop, and implement scalable, production-quality solutions using sound engineering and architectural principles
  • Build AI solutions, including Generative AI and Agentic AI using Google ADK
  • Design, develop, and test AI Agents; work with Model Context Protocol (MCP) and MCP servers
  • Write high-quality code in Python and/or Java across modern AI and platform technologies
  • Provide technical leadership, mentoring, and guidance to other engineers, and contribute to team development
  • Drive engineering quality through code reviews, technical design reviews, testing, and robust CI/CD practices
  • Ensure solutions meet Citi’s risk, security, and compliance requirements and integrate effectively with wider technology platforms

требования

  • Proven experience as a Senior Developer, Technical Lead, Lead Engineer, or in a similar senior engineering role
  • Strong expertise in object-oriented programming, software architecture, and technical design
  • Hands-on development experience in Python and/or Java; experience with both is highly desirable
  • Experience with Generative AI and AI Agents
  • Strong understanding of REST APIs, networking, databases, and CLI tooling
  • Experience with CI/CD and modern DevOps tooling
  • Ability to shape technical strategy and roadmaps and influence senior stakeholders
  • Interest in understanding business problems and working with non-technical stakeholders
  • Strong problem-solving, communication, and presentation skills; confidence engaging with business and technology leaders
  • Experience providing technical leadership, mentoring, or line management within software engineering teams
  • A Bachelor’s degree in Computer Science, Engineering, or a related discipline is preferred; graduate-level or continuing education is a plus
  • Будет плюсом: Google ADK, Model Context Protocol (MCP), AI/data/service integration, Postgres/Oracle, Jenkins, uDeploy, Tekton, Harness or equivalent, Neo4j or other graph databases, UX/front-end development, broader AI platform technologies

условия

  • Competitive base salary, reviewed annually
  • 27 Days of annual leave plus bank holidays
  • Discretionary annual performance-related bonus
  • Private medical care and life insurance
  • Employee Assistance Program
  • Pension plan
  • Paid parental leave
  • Special discounts for employees, family, and friends
  • Hybrid working model with up to 2 days working at home per week

Международный банк и финансовая группа.

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