Description

You will develop and implement advanced AI solutions, including autonomous agents and RAG architectures.

This role is on-site.

Responsibilities

• Develop autonomous agents and agentic workflows using LangChain or AutoGen.
• Implement and tune Retrieval-Augmented Generation (RAG) architectures.
• Build and consume RESTful APIs for model interaction.
• Evaluate and fine-tune Large Language Models (LLMs).
• Apply prompt engineering and manage multi-agent collaboration setups.

Required Skills

• 5+ years of experience in AI/ML and GenAI development.
• Strong programming skills in Python.
• Proficiency with RAG architectures, including vector stores (FAISS, Pinecone, Weaviate) and embedding models.
• Experience with LangChain or AutoGen for agent orchestration.
• Familiarity with Cursor AI for development and debugging.
• Experience building and consuming RESTful APIs.
• Solid understanding of LLMs, fine-tuning, and evaluation frameworks.

Preferred Skills

• Knowledge of Go or Node.js.

Key Skills

Education

Any Graduate