
AI/ML Solutions Developer
2 days ago
About the Role:
This is a challenging position for a skilled AI/ML Engineer with expertise in agentic AI workflows and LLM-powered applications.
The ideal candidate will design, build, and optimize AI-driven solutions for the healthcare and life sciences domain, ensuring accuracy, scalability, and compliance.
The role involves working on cutting-edge projects that leverage machine learning and artificial intelligence to drive business growth and improve customer experiences.
Key Responsibilities:We are seeking a highly motivated and experienced professional who can contribute to the development of innovative AI solutions. Key responsibilities include:
- Designing and implementing agentic AI workflows for clinical source verification, discrepancy detection, and intelligent query generation.
- Building and integrating LLM-powered agents using AWS Bedrock and open-source frameworks (LangChain, AutoGen, LlamaIndex).
- Developing event-driven data pipelines leveraging AWS Lambda, Step Functions, and EventBridge.
- Applying prompt engineering, retrieval-augmented generation (RAG), and multi-agent communication techniques to enhance workflow performance.
- Integrating AI agents securely with external systems via APIs.
- Collaborating with data engineers to design PHI/PII-safe ingestion pipelines, ensuring regulatory compliance.
- Monitoring, testing, and fine-tuning AI workflows for accuracy, latency, scalability, and compliance.
To be successful in this role, you will need:
- A Bachelor's degree in Computer Science, Engineering, or related field (Master's preferred).
- 3–6 years of experience in AI/ML engineering with proven hands-on expertise in LLM/agentic AI development.
- Strong programming skills in Python and/or TypeScript.
- Practical experience with frameworks such as LangChain, LlamaIndex, and AutoGen.
- Familiarity with AWS AI/ML services: Bedrock, SageMaker, Textract, Comprehend Medical.
- Proficiency in API integration and event-driven architectures.
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