Job Description

Responsibilities:

Design, develop, and deploy robust LLM-powered applications using LangChain and LangGraph. Implement and manage complex agentic workflows and multi-step reasoning pipelines with LangGraph for advanced orchestration. Integrate LLMs with various external tools, APIs, and data sources, including vector databases. Optimize LLM application performance, ensuring scalability, reliability, and cost-efficiency. Collaborate with data scientists, machine learning engineers, and product teams to translate requirements into technical solutions. Maintain clean, well-documented, and production-ready code. Stay updated with the latest advancements in LLM frameworks, generative AI, and related technologies.
Requirements:

Strong proficiency in Python programming. Demonstrable experience in developing applications with LangChain, including familiarity with chains, agents, tools, and memory management. Hands-on experience with LangGraph, particularly in building and orchestrating multi-agent systems and complex LLM workflows. Understanding of LLM concepts, prompt engineering, and RAG (Retrieval-Augmented Generation) architectures. Experience with cloud platforms (e.g., AWS, GCP, Azure) and related services for deploying and managing LLM applications. Knowledge of version control systems (e.g., Git) and agile development methodologies. Strong problem-solving skills and the ability to work independently or as part of a team.
Job Type: Full-time

Pay: ₹20,000.00 - ₹50,000.00 per month

Benefits:

Work from home
Education:

Bachelor's (Required)
Experience:

Langgraph Developer : 3 years (Required)
Work Location: Remote