Years of Experience: 4+ years
Strong proficiency in Python, SQL, and GenAI frameworks (e.g., LangChain).
Hands-on experience in building and deploying AI agents with orchestration, tool use, and state management.
In-depth knowledge of LLM architecture, RAGs, embeddings, prompt tuning, and vector databases, agentic AI patterns (ReAct, tool-calling agents, multi-step reasoning, guardrails)
Experience with cloud platforms (AWS, Azure, GCP) and containerization.
Strong analytical, problem-solving, and communication skills.
Data integration experience — REST APIs, Google APIs, SQL databases. Comfortable moving data between systems.
Experience in Web development: FastAPIs, Typescript, async patterns, building production APIs, React, node.js, Component architecture, hooks, state management, consuming streaming APIs (SSE/WebSocket)
Exposure to agentic AI tools and multi-agent workflows (e.g., CrewAI, LangGraph, Autogen).