We are looking for a hands-on fresher or early-career developer who has already worked on agent-based applications using LLM APIs (e.g., OpenAI, Gemini) and open-source tools like LangChain or AutoGen. You must be comfortable building agents, integrating APIs, and writing well-structured Python code without supervision.

Key Responsibilities:
Develop agent flows using LangChain or similar frameworks for specific tasks (summarization, search, API chaining)
Consume and integrate REST APIs within agent pipelines
Design and test prompts for reasoning, task execution, and automation
Use vector databases (like FAISS or Chroma) to enhance agent memory/context
Package agents into scripts or basic web UIs (e.g., Streamlit, Gradio, Flask)

Mandatory Skills:
Robust Python development skills (OOP, data handling, error handling)
Hands-on experience with LangChain, AutoGen, or similar frameworks
Proven use of LLM APIs (OpenAI,



Gemini, Hugging Face) in real projects
Solid understanding of prompt engineering with examples
Ability to use tools like Postman, cURL, or Python Requests for API testing
Use of Git for source control and familiarity with GitHub workflow

Must Have Portfolio:
GitHub repo or project portfolio with:
At least 2 working LLM/Agent projects
Use of RAG, prompt chains, or custom agents
API integration examples

Note:

This role is not for candidates needing LLM/agent training.
Only apply if you can deliver from Day 1.

Job Type: Permanent

Pay: ₹3,000.00 per month

Application Question(s):
Are you available to join immediately?

Experience:
LLM API's, LangChain: 1 year (Required)

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