Description

Key Skills: LLM, Lang chain, Lang graph, Python, Gen AI, Azure

Roles and Responsibilities:

• Develop GenAI applications and services using Python and LLM technologies.
• Build and orchestrate LLM workflows using LangChain and LangGraph.
• Design application architecture for GenAI features, including integration patterns and runtime behavior.
• Implement and iterate on LLM-based capabilities with a focus on correctness and robustness.
• Collaborate with engineering teams to deliver deployable GenAI solutions.

Skills Required:

• 4 to 15 years of relevant experience in GenAI/LLM application development
• Strong hands-on experience with Python.
• Strong understanding and practical experience with Large Language Models (LLMs).
• Hands-on experience with LangChain for building LLM-based applications.
• Hands-on experience with LangGraph for orchestrating complex LLM workflows and agent-based applications.
• Good understanding of Generative AI concepts, architectures, and application development.
• Experience integrating LLMs with APIs, enterprise applications, and external data sources.
• Strong problem-solving and application development skills.

Good to Have

• Experience with Azure AI / Azure OpenAI Service.
• Experience developing AI agents or agentic AI applications.
• Knowledge of vector databases, RAG (Retrieval-Augmented Generation), embeddings, and semantic search.
• Experience deploying GenAI applications on cloud platforms.

Education: Any Graduation / Any Post Graduation

Key Skills

Education

Any Graduate