Description

You will build and deploy agentic AI systems and generative AI applications using Azure OpenAI and modern LLM frameworks.

This role is hybrid.

Responsibilities

• Design and implement agentic workflows using LangChain and LangGraph.
• Develop backend services for LLM integration using Python and FastAPI.
• Integrate LLM APIs from Azure OpenAI and Anthropic into production systems.
• Manage vector databases and embeddings for retrieval-augmented generation (RAG) pipelines.
• Support model deployment, pipeline monitoring, and CI/CD processes.

Required Skills

• 7+ years of overall IT experience with a strong foundation in ML, Deep Learning, and LLM concepts.
• 2+ years of hands-on experience with Agentic AI and Generative AI.
• Proficiency in Python, FastAPI, and building LLM APIs.
• Experience with Azure OpenAI, LangChain, and LangGraph.
• Knowledge of vector databases and embeddings.
• Familiarity with cloud platforms (Azure/AWS/GCP).

Preferred Skills

• Experience with model deployment and pipeline monitoring (MLOps).
• Knowledge of CI/CD tools like Azure DevOps or GitLab.
• Full-stack exposure with ReactJS.

Key Skills

Education

Any Graduate