Description

You will design and deploy scalable Generative AI solutions, focusing on Agentic AI and RAG pipelines.

This role is on-site.

Responsibilities

• Design and implement Retrieval-Augmented Generation (RAG) pipelines and vector database integrations.
• Build Agentic AI solutions using multi-agent orchestration frameworks like CrewAI and LangGraph.
• Develop and maintain MLOps/LLMOps CI/CD automation for model deployment.
• Build API and microservices using FastAPI, REST, Docker, and Kubernetes.
• Deploy and manage AI workloads across AWS (SageMaker, Lambda, EKS, S3) and Google Cloud Platform.

Required Skills

• 10+ years of hands-on experience in AI, Data Science, and Machine Learning.
• Expert-level Python proficiency with PyTorch or TensorFlow.
• Deep experience with LLMs, Gen AI frameworks, and Prompt Engineering.
• Strong knowledge of LangChain, LangGraph, and multi-agent orchestration.
• Proven track record with MLOps/LLMOps and CI/CD automation.
• Experience deploying on AWS (SageMaker, Lambda, EKS, S3) and GCP (Vertex AI).
• Proficiency in containerization (Docker) and orchestration (Kubernetes).

Preferred Skills

• Experience with Agentic AI Cortex AI.
• Google Cloud Platform certification or advanced usage.

Key Skills

Education

Any Graduate