Brief JD Overview – Agentic AI Developer
Role: Agentic AI Developer Experience: 6+ years Open Positions: 1 Location: Remote Contract Duration: 3 months Working Time Zone: IST
Role Summary
We are looking for an experienced Agentic AI Developer with strong expertise in Python, LangChain, LangGraph, and Large Language Models (LLMs). The candidate will develop intelligent AI agents that can understand tasks, make decisions, use external tools, retrieve relevant information, and execute multi-step workflows with minimal human intervention.
Key Skills Required
What to Look for While Screening
Prioritize candidates who have hands-on experience building and deploying Agentic AI applications, rather than candidates with only theoretical knowledge of LLMs or prompt engineering.
Ask candidates about:
Handling failures, loops, state management, and evaluation of AI agents.
RAG pipelines and retrieval quality.
Tool calling and function execution.
Python, FastAPI, and LLM API integrations.




Multi-agent architecture and agent coordination.
Projects built using LangGraph or LangChain.
Agentic AI: Designing autonomous, goal-oriented workflows with appropriate control and error handling.
FastAPI: Building APIs and backend services for AI applications.
RAG (Retrieval-Augmented Generation): Connecting LLMs to external knowledge sources for context-aware responses.
Tool Calling: Enabling AI agents to invoke APIs, functions, and external tools.
LLM Integration: Integrating models such as GPT, Claude, or other LLMs into applications.
Multi-Agent Systems: Developing multiple collaborating AI agents to solve complex tasks.
LangChain & LangGraph: Building LLM-powered applications, agent workflows, and stateful AI systems.
Python: Solid programming and backend development skills.

📌 Agentic AI Developer (India)
🏢 Test Unity
📍 India