Design and improve LLM-powered agents for task planning, execution, retrieval, and memory.
Build modular agent stacks using frameworks like LangChain, CrewAI, AutoGen, or custom orchestrators.
Develop workflows that connect agents to APIs, computer vision models, and vector databases.
Lead prompt engineering, RAG pipelines, and multi-agent coordination strategies.
Collaborate with engineers to productionize agents with proper observability.
Evaluate agent behavior through logging, telemetry, and custom evaluation tools.
Contribute to architecture patterns such as task workflows, tool interfaces, memory optimization, and feedback handling.
Work with infrastructure teams to deploy agentic systems to production, ensuring monitoring, scaling, and rollback safety.