Health AI Engineer

Voloridge Health is a proactive healthcare technology company dedicated to developing advanced tools for predictive health insights. As a Health AI Engineer, you will design and deliver LLM-powered solutions, embedding with users to understand their challenges and ensuring the alignment of AI systems with real-world needs.

Responsibilities:

• Embed with internal users to understand workflows, identify pain points, and deliver AI-powered solutions that solve real problems
• Engineer prompts, context, and system architecture for LLMs, balancing technical rigor with practical user needs
• Build validation pipelines and evaluation benchmarks for LLM outputs, ensuring correctness, safety, and alignment with user expectations
• Build and maintain RAG pipelines and LLM-powered data workflows
• Develop cloud-native solutions on AWS (Lambda, S3, ECS, SageMaker, Step Functions), architecting for LLM-specific constraints
• Translate user feedback and field insights into production direction, influencing what gets built based on real-world needs
• Build trust across engineering, product, and business teams; mentor others on AI technologies and best practices
• Identify edge cases, diagnose failure modes, and shape how AI systems learn and improve over time
• Design reliable LLM integrations: error handling, retries, circuit breakers, and monitoring for hallucinations and quality drift
• Optimize LLM API costs through caching, batching, and model selection
• Implement security controls against prompt injection and LLM attack vectors