Agentic AI Engineer (AWS Tech Stack)

Role Overview

We are seeking an Agentic AI Engineer to design and implement advanced AI workflows for clinical source verification and healthcare use cases. You will build, integrate, and deploy LLM-powered agents using the AWS ecosystem, focusing on scalable, event-driven architectures and secure data processing.

Responsibilities

• Design and implement agentic AI workflows for clinical source verification and intelligent query generation.
• Build and deploy LLM-powered agents using AWS Bedrock and Amazon SageMaker.
• Develop AI workflows using frameworks like LangChain, LlamaIndex, and AutoGen.
• Implement event-driven AI pipelines using AWS Lambda, Step Functions, and EventBridge.
• Optimize Retrieval-Augmented Generation (RAG), prompt engineering, and multi-agent workflows.
• Collaborate with data engineers to design secure PHI/PII-aware data pipelines.
• Monitor, test, and fine-tune AI workflows for accuracy, reliability, and cost optimization.

Requirements

• Bachelor’s degree in Computer Science, Engineering, or a related field.
• 3–6 years of professional experience in AI/ML engineering.
• Mandatory hands-on experience with AWS Bedrock and Amazon SageMaker.
• Strong programming skills in Python and/or TypeScript.
• Practical experience with RAG, embeddings, vector databases, and tool/function calling.
• Experience with event-driven and serverless architectures.

Nice to Have

• Experience developing AI solutions for Healthcare or Life Sciences.
• Familiarity with healthcare data standards and clinical workflows.
• Experience working with PHI/PII and sensitive data privacy controls.

Benefits

• Flexible schedule
• Health insurance
• Paid sick time
• Paid time off
• Provident Fund
• Work from home

Skills

• AWS Bedrock
• Python
• LangChain
• Amazon SageMaker
• Generative AI