Chief Engineer
A technical leader who can lead the technical strategy, architecture, and execution of our AI-driven workforce optimization platform. This is a highly influential, hands-on leadership role where you will help define how the platform is built, guide engineering direction, and contribute directly to its development.
Remote
Contract
Responsibilities
Technical Strategy & Architecture
• Own the technical roadmap, system architecture, and engineering direction
• Translate business, operational, and data requirements into clear technical planning
• Architect scalable systems across data pipelines, AI agents, integrations, and core
application services
Hands-On Engineering
• Build foundational backend services, data workflows, and integrations
• Develop APIs, microservices, and internal automation tools
• Build and optimize LLM-powered agents, RAG pipelines, vector store logic, and
reasoning workflows
Team Leadership & Management
• Hire, manage, and mentor an engineering team as it grows
• Set engineering standards, code review processes, and development best practices
• Run sprint planning, architecture reviews, and milestone execution
Data Engineering & Integrations
• Build and manage data ingestion pipelines (e.g. APIs, SFTP, HL7/FHIR, CSV/Excel)
• Design performant SQL data models and transformation layers
• Implement integrations with EHRs, workforce management systems, and other
hospital tools
Cross-Functional Collaboration
• Work directly with the co-founders, product stakeholders, and healthcare SMEs
• Break down operational workflows (staffing, demand forecasting, scheduling) into
structured engineering logic
• Participate in design sessions, customer calls, and early deployments
Qualifications
Required:
• 7+ years of engineering experience (backend, full-stack, or data engineering)
• Experience leading or managing engineers
• Strong hands-on skills with Python, TypeScript/JavaScript, SQL
• Deep experience with cloud infrastructure (Azure strongly preferred)
• Proven experience building LLM-based features, agentic workflows, or AI-enabled
applications
• Prior architecture experience in a startup or complex data environment
• Strong ownership mindset and comfort operating independently
Preferred:
• Experience with healthcare data, EHR integrations, and staffing workflows
• Familiarity with HL7, FHIR, and secure healthcare APIs
• Experience with agent frameworks, vector databases, or orchestration tooling
• Prior early-stage or founding engineer role
• Exposure to HIPAA or SOC 2 environments
Compensation
Hourly compensation tied to defined milestones
• Milestones will be collaboratively defined
• Milestones may include technical deliverables, integrations, data models,
prototypes, and platform features
• Equity package with vesting schedule (standard 4-year or milestone-based
vesting)
• Clear path to grow into a long-term CTO or VP of Engineering role
This structure provides flexibility while ensuring transparency, alignment, and meaningful upside
as a core technical leader.