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About the Role
We're hiring a Founding Engineer to join an early-stage company building AI-powered software and data infrastructure for healthcare organizations operating in highly regulated, data-intensive environments. This is a foundational engineering hire where you'll work directly with the founders to design and build core product experiences, develop AI-enabled workflows, implement customer deployments, and help establish engineering systems and practices.
Responsibilities
- Design, build, and ship product features across the stack, from database design and APIs through frontend applications
- Build and maintain integrations with external systems, structured datasets, and enterprise data sources
- Develop infrastructure that powers AI-enabled product experiences, including LLM-driven workflows and intelligent automation
- Improve application performance, reliability, and scalability as customer usage and data volumes grow
- Work closely with founders and users to translate complex operational requirements into intuitive software
- Partner with customers during implementation and onboarding
- Configure integrations, data mappings, and deployment workflows
- Participate in customer conversations and translate feedback into product improvements
- Support and maintain the systems you build, including incident response, debugging, and operational troubleshooting
- Help establish engineering practices around testing, deployments, observability, security, and code review
- Build systems that meet the reliability and compliance expectations of enterprise customers
- Mentor future team members and help shape the company's engineering culture
Requirements
- 3–5+ years of experience building and shipping customer-facing software
- Familiarity with healthcare data standards (FHIR, HL7, X12, EHR, claims, or similar)
- Full-stack experience across frontend applications, APIs, databases, and background services, including work with complex enterprise or operational data systems
- Experience building and deploying AI-enabled product features using modern LLMs, agent frameworks, or retrieval-based systems
- Familiarity with prompt engineering, evaluation workflows, and AI application development best practices
- Strong product judgment and the ability to work effectively with limited process or oversight
- Experience in customer-facing engineering roles such as implementation engineering, solutions engineering, forward deployed engineering, or technical consulting
- Understanding of enterprise deployment requirements, security best practices, and compliance-focused environments (HIPAA, SOC 2, etc.)
- Comfortable working in a fast-paced startup where engineering, product, and customer success are closely intertwined
Skills
- React
- TypeScript
- Modern web application development
- AI-enabled product features
- LLMs
- Agent frameworks
- Retrieval-based systems
- Prompt engineering
- Evaluation workflows
- AI application development best practices
Experience Level
- 3-5+ years
Salary/Compensations
- $180,000 - $240,000 USD
About the Company
- Our client is an early-stage, venture-backed software company building an AI-native platform for organizations managing complex operational and healthcare data.
- Their technology helps customers unify fragmented information, automate manual workflows, and generate actionable insights that improve decision-making across clinical and business operations.
- The founding team brings deep expertise across software engineering, machine learning, and enterprise systems, and is building a category-defining platform for one of the largest and most data-intensive industries.
- This is an opportunity to join at the earliest stages, work directly alongside the founders, and help shape both the product and engineering organization from the ground up.