Company: Pearl
Salary: Not provided
Location: , United States
• Build and maintain real-time transcription and LLM-powered summarization pipelines • Contribute to agentic systems, including tool-calling workflows, integrations, and safety guardrails • Develop across the stack using Node.js/TypeScript APIs, React frontends, PostgreSQL, and AWS • Support event-driven architectures using Kafka, SQS, or similar technologies • Write reliable, testable code focused on maintainability and observability • Collaborate on prompt engineering and evaluation of AI outputs • Monitor, debug, and improve system performance and reliability • Use AI development tools such as Cursor, Copilot, and Claude to enhance productivity • Partner with senior engineers on system design and technical decisions • Work across real-time clinical AI workflows, agentic systems, and dental data intelligence pipelines
• 5+ years of professional experience in software engineering • Strong sense of ownership over your work and ability to deliver independently • Ability to navigate ambiguity and contribute to problem-solving • Experience building backend services with Node.js / TypeScript • Experience with React and modern frontend development • Familiarity with AWS (Lambda, SQS, S3 preferred) • Experience with PostgreSQL and data modeling fundamentals • Exposure to event-driven systems (Kafka, SQS, etc.) • Familiarity with LLM-based systems (prompting, structured outputs, or tool usage) • Experience writing tests and working with production systems • Comfort using AI-assisted development tools in your workflow • Experience in healthcare or dental technology (nice to have) • Exposure to agent frameworks or LLM orchestration patterns (nice to have) • Experience with ETL pipelines or data integration (nice to have) • Multi-tenant SaaS experience (nice to have) • Infrastructure as Code experience, e.g. Serverless Framework (nice to have)
• Competitive compensation and benefits • Ongoing training and development opportunities • Flexible, uncapped PTO • Remote work environment
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