Python Developer (AI)

Summary

EPAM Systems is searching for a talented and driven Python Developer to join their AI team. In this position, you will play a crucial role in creating intelligent products that leverage modern AI capabilities to solve complex business challenges, collaborating with skilled engineers and AI specialists to deliver impactful applications.

Responsibilities

• Architect, build, and maintain Python-based applications that power AI-driven initiatives
• Cooperate with cross-functional teams to convert business requirements into technical solutions
• Embed AI capabilities into new and existing systems to expand product functionality
• Write and refine code with a focus on performance, scalability, and long-term maintainability
• Engage in architectural conversations and help shape technical direction
• Carry out code reviews to uphold code quality and share expertise across the team
• Investigate, debug, and resolve problems in both development and production environments
• Drive ongoing improvement of engineering processes, tools, and standards
• Keep up with emerging AI technologies and incorporate relevant innovations into ongoing work
• Participate in agile ceremonies, including sprint planning, daily stand-ups, and retrospectives

Skills

• A Bachelor's or Master's degree in Computer Science or a related technical discipline
• A minimum of 2 years of applicable software development experience
• Strong command of Python for crafting reliable, production-grade applications
• Practical background working with AI platforms to design and deliver intelligent solutions
• Hands-on experience with Amazon Web Services (AWS) for deploying and operating cloud-based applications
• Real-world use of Claude Code or comparable AI-powered development tools to speed up engineering workflows
• Strong English communication skills, both written and spoken (B2+ level or higher)
• Background with AWS Bedrock for creating and scaling generative AI applications
• Working knowledge of Docker for packaging applications into containers and simplifying deployments
• Practical experience with LangChain for building applications driven by large language models
• Familiarity with LangGraph for orchestrating sophisticated, stateful AI workflows
• Hands-on experience with OpenSearch for enabling search and analytics functionality
• Exposure to Snowflake for cloud-based data warehousing and analytical workloads
• Working knowledge of Streamlit for developing interactive data and AI-driven applications
• Experience using Weaviate to work with vector databases and semantic search

Qualifications

Must Haves

• A Bachelor's or Master's degree in Computer Science or a related technical discipline
• A minimum of 2 years of applicable software development experience
• Strong command of Python for crafting reliable, production-grade applications
• Practical background working with AI platforms to design and deliver intelligent solutions
• Hands-on experience with Amazon Web Services (AWS) for deploying and operating cloud-based applications
• Real-world use of Claude Code or comparable AI-powered development tools to speed up engineering workflows
• Strong English communication skills, both written and spoken (B2+ level or higher)

Nice to Haves

• Background with AWS Bedrock for creating and scaling generative AI applications
• Working knowledge of Docker for packaging applications into containers and simplifying deployments
• Practical experience with LangChain for building applications driven by large language models
• Familiarity with LangGraph for orchestrating sophisticated, stateful AI workflows
• Hands-on experience with OpenSearch for enabling search and analytics functionality
• Exposure to Snowflake for cloud-based data warehousing and analytical workloads
• Working knowledge of Streamlit for developing interactive data and AI-driven applications
• Experience using Weaviate to work with vector databases and semantic search

Benefits

• 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