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Senior AI Engineer - Agentic Platform

Epam Systems — Cyprus · Posted ~3 weeks ago

Senior Full-time Hybrid Visa History ✓

Skills

AI engineering Model Context Protocol (MCP) agentic AI enterprise integrations secure integrations CI/CD AI MCP Jira/Xray GitHub

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Summary ✨ AI‑Generated

A senior AI engineering role in a hybrid environment, focused on building an enterprise agentic AI platform. You will develop Model Context Protocol services that allow autonomous agents to interact securely with development, testing, source control, CI/CD, documentation, and planning systems. The work targets scalable automation and improved software delivery productivity and quality.

Highlights

Senior AI engineering opportunity focused on agentic platforms and enterprise automation. You will design core integration services, work with modern AI-agent architectures, and help improve productivity, quality, and engineering workflows through secure automation.

Description

We're looking for a Senior AI Engineer – Agentic Platform (MCP) to join our team in Cyprus in a hybrid working mode. At EPAM, we are developing an enterprise Agentic AI platform that leverages autonomous AI agents to enhance engineering and delivery workflows across the organization. This platform integrates with enterprise tools via Model Context Protocol (MCP) services, enabling AI agents to interact with systems like Jira/Xray, GitHub, CI/CD systems, documentation platforms, and planning tools. By joining us, you'll be designing and implementing core MCP services, enabling scalable and secure integrations for AI agent-driven workflows. Your work will significantly contribute to advancing AI-driven automation in enterprise environments, improving productivity and quality in software delivery. Responsibilities Develop Model Context Protocol (MCP) services to enable agent interactions Implement integrations with enterprise platforms such as Jira/Xray, GitHub, CI/CD systems, and documentation tools Design AI-safe APIs and tool interfaces to ensure secure AI-agent interaction Build scalable, reliable Python-based microservices supporting enterprise workflows Ensure high performance and fault tolerance for MCP services Participate in architectural discussions and influence platform design decisions Requirements 5+ years of software engineering experience Strong proficiency in Python for backend development Proven experience in building APIs and microservices Experience integrating enterprise platforms like Jira and GitHub Familiarity with cloud environments and deployment processes Understanding of AI/LLM ecosystems and related technologies Nice to have Experience with developer productivity or DevOps platforms Hands-on experience building automation for SDLC workflows Prior exposure to LLM APIs and prompt-based automation We offer Private healthcare insuranceGlobal travel medical and accident insuranceRegular performance assessmentsReferral bonusesFamily friendly initiativesLearning and development opportunities including in-house training and coaching, professional certifications, and courses*All benefits and perks are subject to certain eligibility requirements