Role & responsibilities

AWS Agentic AI Engineer
Experience: 9+ years in AWS Cloud & 3+ years in Agentic AI/Generative AI.
Solid expertise in Amazon Bedrock, AWS AgentCore, SageMaker.
Design and develop Agentic AI, Multi-Agent Systems, and LLM-based applications.
Hands-on experience with RAG (Retrieval-Augmented Generation) and Vector Databases.
Experience with LangChain, LangGraph, CrewAI, LlamaIndex, Bedrock Agents, MCP.
Strong knowledge of AWS Lambda, API Gateway, Step Functions, EventBridge, DynamoDB, S3, ECS/EKS.
Proficiency in Python (Java/JavaScript/SQL is a plus).
Experience with CI/CD, Docker, Kubernetes, Terraform, CloudFormation, Jenkins, GitHub Actions.
Knowledge of AI Governance, Responsible AI, Security, Observability, and Prompt Engineering.
Experience integrating AI solutions with enterprise applications and APIs.
Optimize AI applications for performance, scalability, reliability, and cost.
Robust communication, leadership, and mentoring skills.

Preferred Certifications
AWS Certified Solutions Architect Qualified
AWS Certified Machine Learning Engineer
AWS Certified AI Practitioner

📌 Aws Agenticai Lead Bengaluru
🏢 Talent Smart Soft Solutions
📍 Bengaluru