Agentic AI & Multi-Agent Systems o Design and implement multi-agent architectures using LangGraph o Build stateful, tool-augmented agents capable of reasoning, planning, and execution o Develop agent orchestration patterns (planner-executor, supervisor, hierarchical agents)
o Implement memory systems (short-term, long-term, contextual memory)
o Enable cross-agent communication and coordination
o Integrate tools, APIs, and enterprise systems into agent workflows o Design robust prompting, routing, and guardrails o Optimize workflows for latency, cost, and quality
- Platform & API Development o Develop reusable AI services, agent frameworks, and APIs o Contribute to AI platform capabilities (model routing, observability, guardrails)
- Cloud Deployment & Production Systems o Deploy agent-based systems on AWS o Use Docker and Kubernetes for scalable deployments