Core Responsibilities
- Design, develop, and deploy autonomous AI agents using frameworks like LangChain or LlamaIndex .
- Implement agent reasoning, planning, and tool use for executing real-world, multi-step workflows.
- Integrate memory systems and RAG (Retrieval-Augmented Generation) using vector databases for context management.
- Ensure agent reliability, safety, and governance by establishing robust guardrails and error handling.
- Collaborate with product teams to translate complex business needs into agent-based automation solutions .
- Monitor, scale, and maintain deployed agents as production microservices on cloud platforms.
Key Technical Skills
Expertise in Python and modern software development practices.Hands-on experience with Large Language Models (LLMs) and advanced prompt engineering .Familiarity with containerization ( Docker / Kubernetes ) and CI / CD pipelines.Knowledge of cloud infrastructure ( AWS, Azure, or GCP ) for AI service deployment.