Join us as we transform healthcare communication—creating a future where patients get faster resolutions and providers reclaim time for what matters most.

Why Join Us?

• Early-stage impact with proven traction: Dozens of paying customers, rapidly growing revenue, and strong market signals—all in the high-impact environment of an early-stage startup.
• Tackling a massive healthcare challenge: Address a critical problem in communication that affects millions of patients and providers daily, using technology that truly transforms the patient experience.
• Technical founding team: Collaborate directly with experienced founders who understand healthcare operations and technical development, enabling faster decisions and better outcomes.
• Cutting-edge tech frontier: Harness the latest generative AI models—LLMs, voice synthesis, and real-time transcription—to build conversational agents that push healthcare innovation beyond current limits.
• In-person collaboration advantage: We've prioritized in-person work from day one for faster progress, stronger team bonds, and a cohesive culture.

Responsibilities

• Design, develop, and iterate on AI agents for healthcare communication, focusing on safety, reliability, and performance.
• Optimize LLMs through prompt engineering, tool calling, and advanced techniques like RAG and MCP.
• Implement and maintain LLM observability systems to monitor, debug, and analyze agent behavior in production.
• Build conversational systems, integrating voice capabilities where needed, and collaborate on ethical AI deployments.
• Contribute to the product roadmap by identifying AI improvements from real-world healthcare data.

Requirements

• Proven AI agent experience: 2+ years developing AI agents, with emphasis on safety and reliability in production.
• Expertise in AI techniques: Skilled in prompt engineering, tool calling, MCP development, and retrieval-augmented generation (RAG) to enhance agent accuracy and performance.
• LLM observability proficiency: Strong in monitoring, debugging, logging, and performance tools for transparency and traceability.
• Conversational systems background: Hands-on experience with chat systems; voice systems experience is a plus.

Interesting Technical Challenges

• Healthcare-specific LLM tuning: Fine-tune and prompt-engineer LLMs to handle medical terminology, clinical contexts, and empathetic responses while mitigating biases and hallucinations.
• AI-driven workflow orchestration: Design agents using tool calling, agentic workflows, and RAG to manage multi-step processes like scheduling, insurance verification, prescription management, and documentation.
• LLM observability implementation: Build frameworks for real-time monitoring, logging, and traceability to detect issues in healthcare AI agents.
• Deploying generative AI in healthcare: Lead rollouts of LLM-based voice agents, ensuring integration, ethical compliance, HIPAA adherence, and scalable safety.

Interview Process At each stage, we decide within 24 hours and update you shortly after:

• First Chat (30 min) Virtual Discuss your relevant experience and technical strengths.
• System Design Screen (1 hr) Virtual Exercise focused on designing LLM-based applications.
• Applied Coding Exercise (1 hr) Virtual Hands-on challenge for building and optimizing AI agents in healthcare.
• Onsite (Half-day) In-Person Visit our New York office to meet the team, explore our platform, and solve technical problems collaboratively.

Compensation Range: $150K - $225K