Lead Python Software Engineer

EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.

• 5+ years of experience in back-end development with strong expertise in Python and FastAPI
• Hands-on experience with LangChain and/or LangGraph
• Deep understanding of how to integrate AI frameworks into back-end services
• Proficiency in building modular, scalable and maintainable production-ready solutions
• Strong debugging and optimization skills with a focus on reliability and performance
• Familiarity with front-end collaboration using React.js and TypeScript
• Knowledge of infrastructure tools such as Azure and Terraform
• Competency in CI/CD workflows using GitHub Actions
• Upper-Intermediate English language proficiency (B2)

Nice to have:

• Practical knowledge of Generative AI and Prompt Engineering
• Track record of working on AI-driven workflows or tools
• Background in DevOps integration for production-ready deployments

• Design and develop back-end services and APIs using Python and FastAPI
• Integrate AI frameworks such as LangChain and LangGraph into back-end systems
• Build modular, production-ready solutions that are scalable and maintainable
• Contribute to AI-driven workflows and tools leveraging Generative AI and Prompt Engineering
• Collaborate with front-end engineers working with React.js and TypeScript
• Support production-ready deployments on Azure using Terraform
• Implement and maintain CI/CD pipelines with GitHub Actions
• Debug and optimize applications for reliability and performance
• Ensure code quality through best practices and thorough testing