Own and improve production AI systems. Design, build, deploy, and optimize AI/ML solutions that support critical healthcare products and operational workflows.
Build LLM-powered applications. Develop production systems involving large language models, retrieval, structured generation, tool use, orchestration, and agentic workflows.
Develop intelligent workflow automation. Create AI-powered systems that automate complex, multistep processes and improve the speed, consistency, and quality of operational decision-making.
Own solutions end-to-end. Take projects from problem definition and experimentation through development, deployment, monitoring, and ongoing optimization.
Design evaluation and experimentation frameworks. Create testing methodologies, benchmarks, and feedback loops that improve model quality, system performance, reliability, and business outcomes.
Translate business problems into scalable systems. Partner with product, operations, data, and engineering teams to define success metrics and turn complex requirements into production-ready AI solutions.
Optimize model and workflow behavior. Improve prompts, retrieval strategies, model selection, system logic, and application performance through continuous experimentation.
Build reliable AI infrastructure. Contribute to the architecture, observability, testing, versioning, rollout safety, and operational reliability of AI-powered systems.
Work with complex healthcare data. Build solutions that operate effectively across structured and unstructured information while maintaining high standards for accuracy, privacy, security, and compliance.
Accelerate AI adoption across the organization. Apply AI tools and best practices to improve team productivity and help establish scalable, AI-native ways of working.
Balance speed with rigor. Deliver impactful systems quickly while maintaining high standards for quality, reliability, safety, and maintainability.