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описание
EPAM develops enterprise software products, open source solutions, and accelerators. The project focuses on enterprise search products powered by Coveo, ElasticSearch, and OpenSearch, including corporate search platforms, website search capabilities, and AI-powered search features integrated into client products.
задачи
Design and develop backend services and features using Python;
Build and optimize search solutions with OpenSearch and Coveo;
Implement and improve Generative AI and RAG-based capabilities within search products;
Collaborate with cross-functional team members across EPAM, client, and vendor organizations;
Mentor front-end engineers transitioning to full-stack development with a Python focus;
Participate in Agile ceremonies and contribute to continuous improvement of team processes;
Identify technical improvements, propose solutions, and drive their implementation.
требования
3+ Years of experience with Python as a primary development language;
General understanding of search systems and RAG architecture;
Familiarity with OpenSearch and/or Coveo platforms;
Hands-on Generative AI experience with daily use of AI tools and technologies;
Experience working within development teams and following SDLC practices;
A proactive mindset with the ability to mentor team members, especially front-end engineers transitioning to full-stack development;
Experience in Agile environments using Scrum or Kanban;
B2+ English level, written and spoken;
Nice to have: experience with Node.js, deep OpenSearch expertise including indexing, query tuning, and cluster management, Coveo platform expertise including connectors, pipelines, and relevance tuning, MCP development, agentic workflows and autonomous AI systems, hyperscaler cloud platforms, Kubernetes deployments and orchestration.
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