Description

You will build and maintain agentic AI systems for complex data processing workflows.

Responsibilities

• Implement agentic AI workflows for clinical source verification, discrepancy detection, and intelligent query generation.
• Develop event-driven pipelines using AWS Lambda, Step Functions, and EventBridge.
• Optimize prompt engineering, retrieval-augmented generation (RAG), and multi-agent communication patterns.
• Integrate AI agents with external systems via secure APIs.
• Monitor, test, and fine-tune AI workflows for accuracy and compliance.

Required Skills

• 3–6 years in AI/ML engineering with hands-on LLM/agentic AI development.
• Strong coding skills in Python and TypeScript.
• Experience with LangChain or Llamaindex.
• Familiarity with AWS AI services, including Bedrock and SageMaker.
• Experience building event-driven architectures and integrating APIs.
• Bachelor's degree in Computer Science, Engineering, or related field.
• Problem-solving mindset with ability to iterate quickly.

Key Skills

Education

Bachelor's degree