Overview

We are seeking a Senior Agentic Software Engineer to design and deliver complex features for our travel platform while leveraging cutting-edge AI coding tools to accelerate development. In this role, you will contribute to a full-stack product development team, build agentic workflows, and mentor junior engineers on the productive use of AI-assisted development.

Responsibilities

  • Design, develop and deliver complex features and services for our travel platform as a key contributor on a full-stack product development team
  • Leverage agentic coding tools (Claude Code, Cursor, GitHub Copilot) in daily development workflows to accelerate delivery and improve code quality
  • Review and validate AI-generated code for correctness, security, performance and maintainability, helping to set quality standards within the team
  • Revitalize services and architectures that have outlasted their original implementations through refactoring, migration and cloud-native design patterns
  • Author clean, testable, peer-reviewed and optimized high-performance code, whether written manually or collaboratively with AI agents
  • Build and improve internal agentic workflows that automate repetitive engineering tasks such as testing, documentation and code review triage
  • Configure Model Context Protocol (MCP) integrations that connect AI agents to internal tools, data sources and platform services
  • Contribute to improving development and operations of an increasingly distributed architecture across cloud platforms
  • Advocate for change in quality, durability and technical debt reduction by working with Product Owners, Engineering Managers, Product Designers and other key partners
  • Safeguard the privacy, security and trust of our members' sensitive data throughout our implementations, in partnership with our Risk and Security teams
  • Participate in establishing and meeting backend and system SLOs to protect us through future growth
  • Mentor junior engineers on effective development practices, code quality and productive use of AI-assisted development tools

Requirements

  • Bachelor's degree in Computer Science, Computer Engineering or equivalent experience
  • 5–8 years of full-stack development experience building web applications and services
  • 2+ years of hands-on experience using AI coding agents (e.g., Claude Code, Cursor, GitHub Copilot) in professional development workflows
  • Strong background in building modern web applications, RESTful API design and microservices architecture and patterns
  • Proficiency in two or more of the following: TypeScript/JavaScript, Python, C#/.NET
  • Deep expertise in modern frontend frameworks such as React, Next.js, Vue or Angular
  • Experience architecting and deploying applications on cloud platforms (AWS, Azure or GCP)
  • Demonstrated capability to use AI coding agents to accelerate development, improve code quality and automate engineering workflows
  • Skills in prompt engineering techniques for code generation, debugging, testing and documentation
  • Working knowledge of the Model Context Protocol (MCP) and experience using or configuring MCP servers to connect AI agents with internal tools and services
  • Excellent communication skills, strong working relationships and a high degree of team collaboration

Nice to have

  • Familiarity with Azure AI Foundry, Retrieval-Augmented Generation (RAG), LangChain and graph-based data technologies (GraphRAG, GraphDB)
  • Background in real-time streaming or distributed messaging platforms such as Redis, Kafka or RabbitMQ
  • Expertise in containerization (Docker), CI/CD pipelines and infrastructure-as-code tools with modern DevOps practices
  • Familiarity with modern project management and collaboration tools (Jira, ADO, GitHub Projects or similar) and Agile software delivery
  • Capability to evaluate emerging AI development tools and stay current with the evolving agentic coding landscape

[GTS] Benefits (generic, except India)

  • International projects with top brands
  • Work with global teams of highly skilled, diverse peers
  • Healthcare benefits
  • Employee financial programs
  • Paid time off and sick leave
  • Upskilling, reskilling and certification courses
  • Unlimited access to the LinkedIn Learning library and 22,000+ courses
  • Global career opportunities
  • Volunteer and community involvement opportunities
  • EPAM Employee Groups
  • Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn