[Hiring] Senior Generative AI Python Engineer @EPAM Systems

Role Description

We are looking for a Senior Python Engineer with hands-on Generative AI experience to join one of seven agile teams within a large-scale enterprise search technologies project. The project focuses on developing and supporting enterprise search products powered by Coveo, ElasticSearch, and OpenSearch.

Our teams build and enhance solutions, including:

• Corporate search platforms
• Website search capabilities
• AI-powered search features integrated into client products

The project brings together approximately 85 professionals from EPAM, the client, and other vendors, organized into seven agile streams. Each team operates with its own Product Owner and Scrum Master, following Kanban or Scrum methodology, and focuses on a dedicated product area.

This is an opportunity to develop deep expertise in search technologies, RAG architectures, and AI-powered engineering — while working on products with real-world enterprise impact at scale.

Qualifications

• 3+ years of experience with Python as a primary development language
• General understanding of search systems and RAG (Retrieval-Augmented Generation) architecture
• Familiarity with OpenSearch and/or Coveo platforms
• Hands-on Generative AI experience — working with AI tools and technologies daily
• Experience working within development teams and following SDLC practices
• Proactive mindset with the ability to mentor team members (especially front-end engineers transitioning to full-stack)
• Experience in Agile environments (Scrum or Kanban)
• B2+ English level (written and spoken)

Requirements

• Experience with Node.js (Nice to have)
• Deep OpenSearch expertise (indexing, query tuning, cluster management) (Nice to have)
• Coveo platform expertise (connectors, pipelines, relevance tuning) (Nice to have)
• Experience with MCP (Model Context Protocol) development (Nice to have)
• Familiarity with agentic workflows and autonomous AI systems (Nice to have)
• Experience with hyperscaler cloud platforms (Nice to have)
• Hands-on experience with Kubernetes (K8s) deployments and orchestration (Nice to have)

Company Description