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terraform aws python containerization llmπ Description
- Architect AI agent orchestration platforms across multi-agent systems
- Design MCP servers exposing domain capabilities as tools
- Enforce security: sandboxing, scoped permissions, HITL, tenant data
- Deploy containerized services on AWS with Terraform for reliability
- Collaborate with ML/data engineers and product teams to integrate agents
- Own solutions from concept to deployment with rigorous testing
π― Requirements
- BS/MS in Computer Science or related field
- 5+ years production software engineering (backend/platform/infrastructure)
- Advanced proficiency in Python
- Experience building AI agentic systems in production
- Deep familiarity with LLM ecosystem, MCP, memory strategies, sandboxing
- Hands-on AWS, containerized services, and Terraform; security/isolation
π Benefits
- Comprehensive medical, dental, vision, life and disability plans
- Free testing for employees and fertility care benefits
- Pregnancy and baby bonding leave and other family benefits
- 401(k) plan and commuter benefits
- Generous employee referral program
- Inclusive, diverse workplace with equal opportunity
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