We are looking for a Senior Python Backend Engineer to spearhead our Agentic AI project, which focuses on creating advanced custom agents and connectors for Google and AWS AI services. You will take a key role in designing and delivering scalable, innovative solutions that seamlessly integrate with complex systems while addressing evolving business and technical needs.
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
Requirements
- 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
Nice to have
- 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
We offer/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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