AWS/AI Engineer

Job Description: AWS AI Engineer / Developer  

Responsibilities

- Implement agentic AI workflows for clinical source verification, discrepancy detection, and intelligent query generation.

- Build and integrate LLM-powered agents using AWS Bedrock + open-source frameworks (LangChain, AutoGen).

- Develop event-driven pipelines with AWS Lambda, Step Functions, and EventBridge.

- Optimize prompt engineering, retrieval-augmented generation (RAG), and multi-agent communication.

- Integrate AI agents with external systems through secure APIs.

- Experience in healthcare/Life Sciences AI solutions with regulatory compliance preferred

- Collaborate with data engineers for PHI/PII-safe ingestion pipelines.

- Monitor, test, and fine-tune AI workflows for accuracy, latency, and compliance.

Qualifications

- Bachelor’s in Computer Science, Engineering, or related field.

- 2 years in AI/ML engineering with hands-on LLM/agentic AI development.

- Strong coding skills in Python/TypeScript and experience with LangChain, LlamaIndex, or AutoGen.

- Familiarity with AWS AI services (Bedrock, SageMaker, Textract, Comprehend Medical).

- Experience in API integrations and event-driven architectures.

- Experience in healthcare/Life Sciences AI solutions with regulatory compliance preferred

- Problem-solving mindset with ability to experiment and iterate quickly.