Health AI Engineer

Summary Of Job Functions

• 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
• 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

Minimum Requirements

• 3–5 years of software engineering with production LLM experience
• 3-5 years of professional software development experience using Python, C#, Typescript, or Node.js (Python strongly preferred)
• Hands-on LLM integration experience: prompt engineering and context management
• Experience working with users to understand needs and iterate on solutions
• Strong problem-solving orientation: outcomes and empathy over process
• Demonstrated ability to detect and mitigate LLM hallucinations
• Experience with RAG pipelines: embeddings, chunking, vector databases
• Awareness of LLM security risks and mitigation strategies
• Ability to work on-site in our Jupiter, FL office (hybrid schedule)

Preferred Skills And Previous Experience

• 4-year college degree (or higher) in Computer Science or related field
• Experience building agentic AI systems with tool use, multi-step reasoning, and safety constraints
• CI/CD and DevOps experience
• Strong experience with SQL databases (PostgreSQL, MySQL) and familiarity with NoSQL (MongoDB, DynamoDB, Redis)
• Proficiency in AWS and infrastructure-as-code (Terraform, CloudFormation)
• Solid understanding of microservices and containers (Docker, Kubernetes)
• Familiarity with HIPAA and/or financial data
• Deeply curious and high-agency: you drive solutions without waiting for direction
• Strong communication: you build trust and translate between technical and business audiences
• Understanding of LLM evaluation: metrics, benchmarks, non-deterministic testing

Benefits

• Relocation assistance available for the right candidate
• Highly competitive base salary
• Health, dental, vision, life, and disability insurance
• 401K