Skills & Qualifications Required ● 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) Preferred ● 4+ years of hands-on experience with LLMs and GenAI in production settings. ● Exposure to agentic AI tools and multi-agent workflows (e.g., CrewAI, LangGraph, Autogen). ● Familiarity with MLOps and AI deployment best practices. ● Experience in client-facing or cross-functional AI initiatives. ● Publications, open-source contributions, or demonstrable projects showcasing AI agent development.
Master/bachelor's degree in Computers, Marketing or a related field is typically required.
