[Remote] Senior Python Backend Engineer – Agentic AI
Note: The job is a remote job and is open to candidates in USA. EPAM Systems is seeking a Senior Python Backend Engineer to lead their Agentic AI project, which focuses on developing advanced custom agents for Google and AWS AI services. The role involves designing scalable solutions, managing project timelines, and mentoring teammates while ensuring alignment with business and technical goals.
Responsibilities
- Develop custom agents from concept to production, ensuring alignment with business and technical goals
- Architect and implement integration strategies for custom agents, ensuring reliability and enhanced system functionality
- Drive scalability and extensibility in solution design, preparing for long-term evolution and enterprise demands
- Proactively identify, diagnose, and resolve complex technical issues to maintain project stability and performance
- Oversee project timelines and milestones, efficiently managing competing priorities in dynamic environments
- Conduct in-depth research into new technologies and methodologies to drive innovation and enhance capabilities
- Collaborate with and mentor teammates, fostering a strong culture of technical excellence, collaboration, and shared vision
Skills
- 3+ years of professional experience as a Python developer, with expertise in traditional and cloud environments (AWS or GCP)
- Exceptional troubleshooting and debugging skills for addressing intricate challenges in production systems
- Advanced knowledge of scalable architectures and proven experience adapting solutions to shifting project demands
- Strong research and analysis skills to evaluate, recommend, and implement emerging technologies and methods
- Strong ability to guide and influence team dynamics, provide mentorship to enhance skills, and ensure alignment in achieving goals within an agile environment
- Expertise in Cloud Native Development, including containerization, orchestration, and deployment using tools like Docker, Kubernetes, and serverless frameworks
- Experience architecting, building, and maintaining robust REST APIs, with strong authentication, error handling, and versioning expertise
- English level of minimum B2 (Upper-Intermediate) for effective communication
- Significant hands-on experience in creating production-ready custom agents with deep integration expertise
- Deep understanding of AI concepts such as MCP, A2A protocol, RAG, and their practical applications
- Extensive experience with A2A communication and workflow orchestration for enterprise-grade automation
- Expert knowledge of Amazon Bedrock AgentCore for developing, deploying, and managing AI agents on AWS
- Experience implementing advanced solutions with Google Vertex AI, including custom model training and application integration
- Proficiency in leveraging Model Context Protocol for dynamic context and state management in agent workflows
- Demonstrated ability to enhance agent systems using Retrieval-Augmented Generation with external knowledge bases
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
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