Overview

We are looking for a Senior AI Engineer to join our team building an enterprise Agentic AI platform that enables autonomous AI agents to support engineering and delivery workflows across the organization. The platform will expose enterprise capabilities through Model Context Protocol (MCP) services, allowing AI agents to interact with systems such as Jira/Xray, GitHub, testing platforms, documentation systems, and planning tools.

Responsibilities:
  • Develop Model Context Protocol services that expose enterprise engineering workflows to AI agents
  • Implement integrations with Jira/Xray, GitHub, CI/CD systems, and documentation platforms
  • Design AI-safe APIs and tool interfaces for agent interactions
  • Build scalable Python-based microservices to support platform capabilities
  • Enable agents to create and manage tests in Jira/Xray
  • Support generation and management of release documentation
  • Facilitate agent interactions with GitHub repositories
  • Support planning and delivery workflows through agent-enabled services
  • Ensure reliability and performance of MCP services
  • Participate in architecture discussions to shape platform direction
Required Qualifications:
  • 3+ years of software engineering experience
  • Skills in Python backend development
  • Expertise in building APIs and microservices
  • Experience integrating enterprise platforms such as Jira and GitHub
  • Familiarity with cloud environments
  • Understanding of AI/LLM ecosystems
  • English proficiency at B2 level or higher
Benefits:
  • Delivering innovative solutions to industry leaders, making a global impact
  • Enjoyable working environment, whether it is the vibrant office or the comfort of your home
  • Opportunity to work abroad for up to two months per year
  • Relocation opportunities within our offices in 55+ countries
  • Corporate and social events
  • Leadership development, career advising, soft skills and well-being programs
  • Certifications, including GCP, Azure and AWS
  • Unlimited access to EPAM's internal learning database
  • Free English classes with certified teachers
  • Participation in the Employee Stock Purchase Plan
  • Monetary bonuses for engaging in the referral program
  • Comprehensive medical & family care package
  • Four trust days per year for personal needs
  • Discounts for fitness clubs
  • Benefits package (hotels, restaurants, stores and services)
Nice To Have:
  • Experience with developer productivity platforms
  • Experience building automation for SDLC workflows
  • Experience with LLM APIs
  • AI Solution Engineering
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