The company is looking to bridge the gap between cutting-edge AI capabilities and real healthcare needs by developing AI solutions that improve patient outcomes and streamline healthcare workflows.
Requirements
- Advanced experience with LLMs, prompt engineering, and AI model evaluation
- Hands-on experience with AI/ML frameworks, APIs, and model comparison
- Understanding of conversational AI architecture, multi-agent systems, and prompt optimization techniques
- Ability to work with engineering teams on technical implementation and system design
- Experience with A/B testing, metrics analysis, and data-driven product decisions
- Familiarity with software development processes and platform architecture
- Previous experience as a power user or early adopter of AI tools and platforms
Responsibilities
- Design and optimize prompts for complex healthcare workflows including multi-agent systems, appointment scheduling, and patient engagement flows
- Collaborate with engineering to implement and test new AI architectures, models, and conversational AI features
- Run experiments comparing different models, prompt strategies, and conversation approaches
- Build prompt evaluation frameworks and testing pipelines that scale across multiple healthcare use cases
- Serve as primary user of our internal AI agent platform, stress-testing new features and identifying improvement opportunities
- Design and execute end-to-end testing for new AI capabilities, model deployments, and platform releases
- Establish metrics and monitoring systems for conversation quality, model performance, and user satisfaction
Other
- Translate ambitious client requirements into lean MVPs that can be launched and iterated quickly
- Create product hypotheses and validation frameworks for new AI features and healthcare use cases
- Partner with clients to identify the core problem beneath their feature requests
- Work closely with engineering team to prioritize AI/ML platform features and improvements
- Communicate technical AI concepts to non-technical stakeholders and clients
