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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