Description

You will architect and implement enterprise-scale AI/ML solutions.

This role is remote.

Responsibilities

• Build intelligent AI agents using LangChain and LangGraph.
• Lead development of RAG systems and multi-agent architectures.
• Drive LLMOps/MLOps practices using PyTorch, MLFlow, and FastAPI.
• Deploy scalable solutions on Azure AI Foundry and GCP Vertex AI.
• Automate ML workflows with Kubernetes and GitHub Actions.

Required Skills

• 10+ years of experience in software architecture.
• Expertise in Generative AI and Agentic AI.
• Deep knowledge of Large Language Models (LLMs).
• Proficiency with LangChain and LangGraph.
• Experience implementing RAG systems.
• Strong command of Python.
• Familiarity with MLOps tools like MLFlow and FastAPI.
• Experience with containerization using Kubernetes.
• Proficiency in CI/CD practices, specifically GitHub Actions.

Key Skills

Education

Any Graduate