Lead Python Backend Engineer
Job in
San Antonio, Bexar County, Texas, 78201, USA
Listed on 2026-11-01
Listing for:
EPAM Systems
Full Time
position Listed on 2026-11-01
Job specializations:
-
Software Development
Backend Developer, AI Engineer (Applied/Software), Python
Job Description & How to Apply Below
We are looking for a Lead Python Backend Engineer to join our team building an Enterprise Agent Development Platform — a production-grade, cloud-native ecosystem that enables engineering teams to define, orchestrate, deploy, and observe AI agents platform standardizes agent development across the organization using Lang Graph and Strands Agents on AWS Agent Core Runtime. The initiative spans agent framework design, runtime architecture, marketplace integration, CI/CD automation, and enterprise-grade observability — reducing agent development from months to days while enforcing consistent security, quality, and governance standards.
Responsibilities- Integrate Agent Core Memory into platform agent templates and helper libraries
- Implement write-on-turn functionality to store session events
- Implement retrieve-on-turn functionality to fetch relevant context
- Design and build memory namespace architecture for per-agent isolation and per-user scoping
- Develop Python helper libraries to support memory-enabled agents across the platform
- Enable memory activation through configuration rather than custom code in agent templates
- Work with AWS Agent Core Memory API to create, query, update, and delete memory records
- Build and maintain API integrations for stateful services
- Manage session persistence and context continuity across agent interactions
- 7+ years of backend engineering experience with AI/ML systems
- Hands-on experience integrating agent memory in a production agentic AI project, such as AWS Agent Core Memory API (write-on-turn/retrieve-on-turn), memory namespace design, or agent template memory configuration
- Expertise in Python SDK development
- Skills in API integration for stateful services
- Proficiency in session management and context persistence
- English proficiency at B2 level or higher
- Familiarity with AWS Agent Core Memory SDK usage
- Knowledge of Lang Chain memory integration
- Background in agent framework development (Lang Graph, Crew)
- Understanding of conversational AI context handling
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