Description

You will develop and orchestrate Generative AI applications using Python, LLMs, LangChain, and LangGraph.

This role is hybrid.

Responsibilities

• Design and implement GenAI application architecture, including integration patterns and runtime behavior.
• Build and orchestrate complex LLM workflows and agent-based applications using LangGraph.
• Develop GenAI services using Python, focusing on correctness and robustness.
• Integrate LLMs with APIs, enterprise applications, and external data sources.
• Collaborate with engineering teams to deliver deployable GenAI solutions.

Required Skills

• 5+ years of experience in GenAI/LLM application development.
• Strong hands-on experience with Python.
• Practical experience with Large Language Models (LLMs) and Generative AI concepts.
• Hands-on experience with LangChain for building LLM-based applications.
• Experience with LangGraph for orchestrating complex LLM workflows.
• Experience integrating LLMs with APIs and external data sources.
• Strong problem-solving and application development skills.

Preferred Skills

• Experience with Azure AI / Azure OpenAI Service.
• Experience developing AI agents or agentic AI applications.
• Knowledge of vector databases, RAG, embeddings, and semantic search.

Key Skills

Education

Any Graduate