Description

Build and deploy intelligent systems that reason, act, and interact across tools and data sources.

This role is hybrid.

Responsibilities

• Design and optimize AI agents for reasoning, decision-making, and tool usage.
• Implement and fine-tune Retrieval-Augmented Generation (RAG) pipelines for contextual knowledge integration.
• Develop and manage agentic workflows across APIs, vector stores, and third-party tools.
• Build scalable APIs for model access, integration, and service orchestration.
• Leverage Cursor AI and similar platforms to prototype and deploy agent-based applications.

Required Skills

• 5+ years of experience in AI/ML development.
• Strong programming skills in Python.
• Experience developing autonomous agents and agentic workflows using LangChain or AutoGen.
• Hands-on experience with Cursor AI for development and agent orchestration.
• Proficiency in RAG architectures, including vector stores and embedding models.
• Experience building and consuming RESTful APIs.
• Solid understanding of LLMs, fine-tuning strategies, and evaluation frameworks.
• Experience with prompt engineering and tool calling.

Key Skills

Education

Any Graduate