Senior Software Engineer
- United States
- Posted
Join our team as a Senior Software Engineer, where you'll work on core product areas that leverage AI technology. You'll be responsible for building and improving real-time clinical AI workflows, contributing to agentic systems, and developing dental data intelligence pipelines. This role requires experience with React, Node.js/TypeScript, AWS, and familiarity with LLM-based systems. Enjoy benefits such as healthcare coverage, ongoing learning opportunities, unlimited vacation, and a supportive remote work environment.
- Contribuer à la construction et à l'amélioration des systèmes de flux de travail cliniques en temps réel, y compris la capture audio clinique et la transcription.
- Participer au développement de systèmes agentiques qui traitent les événements, utilisent l'appel d'outils LLM et automatisent les actions.
- Aider à développer des pipelines qui ingèrent, normalisent et enrichissent les données des systèmes de gestion de cabinet dentaire.
- We’re looking for a Senior Engineer who is highly execution-focused and thrives in building and improving complex systems. You’re someone who can take ownership of meaningful components, contribute to system design, and collaborate closely with cross-functional teams to deliver high-impact solutions
- Experience with React and modern frontend development
- Exposure to event-driven systems (Kafka, SQS, etc.)
- Strong sense of ownership over your work and ability to deliver independently
- Experience building backend services with Node.js / TypeScript
- Familiarity with AWS (Lambda, SQS, S3 preferred)
- Familiarity with LLM-based systems (prompting, structured outputs, or tool usage)
- Ability to navigate ambiguity and contribute to problem-solving
- 5+ years of professional experience in software engineering
- Experience writing tests and working with production systems
- Comfort using AI-assisted development tools in your workflow
- Experience with PostgreSQL and data modeling fundamentals
- Multi-tenant SaaS experience
- Experience in healthcare or dental technology
- Exposure to agent frameworks or LLM orchestration patterns
- Experience with ETL pipelines or data integration
- Infrastructure as Code experience (e.g., Serverless Framework)
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