Senior Python Developer

We're currently searching for a Senior Python Developer who carries substantial, real-world technical expertise to strengthen our engineering team. This position offers exposure to pioneering projects that stretch the limits of contemporary software craftsmanship. You'll work alongside a talented set of colleagues who place equal weight on solid technical delivery and imaginative problem-solving. This opportunity is well-suited to those eager to build lasting, innovative solutions while thriving in an active, quickly evolving team atmosphere.
Responsibilities
Define backend API structure and orchestration mechanisms that facilitate integration with large language models
Establish and maintain intricate Retrieval-Augmented Generation (RAG) workflows, encompassing document intake, text segmentation, embedding creation, and improved retrieval techniques
Craft and integrate agent-oriented tools leveraging frameworks like LangChain and LangGraph, incorporating Model Context Protocol (MCP) when applicable
Enforce strict security practices, protect data confidentiality, provide enterprise-caliber monitoring, and ensure thorough test coverage throughout backend systems
Play a direct part in guiding architectural choices and shaping technical standards within the engineering group
Collaborate with frontend engineers, data engineering personnel, and infrastructure teams to achieve unified, well-coordinated results
Requirements
Three or more years of hands-on backend engineering experience, with particular focus on microservices and distributed systems architecture
Demonstrated ability applying Python to develop high-performance backend systems and cloud-native APIs
Practical experience creating applications rooted in Generative AI capabilities
Applied familiarity with LangChain for constructing language model-powered applications
Broad knowledge covering AWS, Docker, container orchestration tools like ECS/EKS, and RESTful API development
Strong foundation in secure coding techniques alongside robust authentication and authorization know-how
Sufficient English communication ability at B2 level or higher, enabling accurate understanding of business requirements and their conversion into agent-based technical solutions
Nice to have
Nice to have
Practical experience using agent-focused frameworks such as LangChain, LlamaIndex, or LangGraph
Familiarity with Model Context Protocol (MCP) enabling consistent context handling across AI systems
Capable of working with frontend tools, especially React and TypeScript
Background applying Terraform for infrastructure provisioning and administration
Applied knowledge of RAG pipeline elements, including vector database platforms like Amazon Kendra or OpenSearch, plus embedding techniques and retrieval system development
Experience either constructing new systems or modernizing existing large-scale, complex technical infrastructures
We offer
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

Work arrangement
Yes