Architect and build the foundational LLM architecture (RAG, Agents, Vector DBs) that powers high-impact product features across the organization.
Design and deliver high-performance, distributed systems (data pipelines, APIs, microservices) that process healthcare data at scale and securely integrate LLM outputs into the user experience.
Drive Proof-of-Concepts (POCs) and technical evaluation of new AI technologies to validate their product viability and scalability.
Design and build responsive web applications using modern frontend frameworks to deliver intuitive, user-facing intelligence and analytic features.
Ensure observability, monitoring, and operational excellence, championing security and regulatory compliance (HIPAA, SOC2).
Drive system design and technical planning for all critical projects, including large, complex, and cross-functional initiatives across the organization.
Partner strategically with Product, Operations, and Design leadership, translating complex business requirements into technical strategies and influencing roadmap prioritization.
Mentor engineers at Software Engineer I, II, and III levels, accelerating their technical growth and leadership development.
Educate the organization on the capabilities, best practices, and limitations of using LLMs and applied AI within the healthcare domain.
Define and implement engineering standards, patterns, and best practices that significantly improve scalability, reliability, and developer productivity across the product.

Requirements

8-12 years of experience in large-scale software engineering, with a proven track record in service-oriented architectures and large data systems.
Demonstrated architectural experience designing and implementing highly observable, scalable distributed systems, including complex microservices and event-driven architectures.
Hands-on experience in the full-stack productization of Applied AI/LLM features, specifically working with RAG architectures (chunking strategies, semantic search, vector databases) and Agentic workflows.
Cloud platform proficiency (preferably AWS), including hands-on experience with infrastructure design, deployment pipelines, and cost optimization.
Expertise in designing and optimizing data-intensive applications, including deep database expertise (schema design, query optimization) and data consistency patterns.
A strong leadership track record in driving technical direction for significant, cross-functional projects.

Benefits

Additional Compensation: This role is eligible for a discretionary performance bonus and equity options.
Benefits: We offer a competitive benefits package. More on our careers page.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

LLM architectureRAGAgentsVector DBsdistributed systemsdata pipelinesAPIsmicroservicesApplied AIevent-driven architectures

Soft Skills

leadershipmentoringstrategic partnershiptechnical planningcommunication