Agentic AI Developer

📋 Description

• Design, develop, and optimize autonomous AI agents capable of reasoning, planning, reflection
• Build multi-agent architectures and state-based workflows using frameworks such as LangGraph
• Develop reliable agent loops that enable LLMs to select tools, execute actions, evaluate results
• Integrate enterprise databases, internal applications, and external APIs with AI agents while
• Design short-term and long-term memory mechanisms that allow agents to maintain relevant context
• Develop automated evaluation frameworks to assess agent performance, reliability, task completion

🎯 Requirements

• 3–7 years of professional experience in software engineering, AI development, machine learning, or
• Advanced proficiency in Python, including asynchronous programming and the development of scalable
• Strong practical knowledge of major LLM provider APIs, such as OpenAI, Anthropic, Mistral, or
• Hands-on experience developing agentic applications using LangChain, LangGraph, AutoGen, CrewAI, or
• Good understanding of multi-agent architectures, tool calling, workflow orchestration, prompt
• Working knowledge of vector databases such as Pinecone, Qdrant, or Weaviate, as well as relational

🎁 Benefits

• Annual compensation of approximately INR 2,500,000–4,000,000 CTC, depending on experience and
• Full-time, mid-to-senior-level opportunity.
• Remote-friendly working model with flexibility across India.
• Location options including Bangalore, Pune, hybrid, or remote across India.
• Opportunity to work on advanced agentic AI, multi-agent systems, LLM applications, and intelligent
• Exposure to modern AI frameworks, LLM platforms, vector databases, APIs, and cloud-ready