Role & responsibilities

AWS Agentic AI Engineer

- Experience: 9+ years in AWS Cloud & 3+ years in Agentic AI/Generative AI.

- Strong 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.

- Strong 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