[Hiring] Senior Software Engineer @Pearl

Role Description

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. You’ll work across several core product areas where AI is central to the product experience.

This role contributes to three critical product areas:

• Real-Time Clinical AI Workflows: Build and improve systems that capture clinical audio, stream transcription, and generate structured documentation using LLMs.
• Agentic Systems: Contribute to systems that process events, leverage LLM tool-calling, and automate actions across internal and external tools.
• Dental Data Intelligence: Help develop pipelines that ingest, normalize, and enrich data from practice management systems.

What You’ll Do:

• Build and maintain real-time transcription and LLM-powered summarization pipelines.
• Contribute to agentic systems (tool-calling workflows, integrations, and safety guardrails).
• Develop across the stack: Node.js/TypeScript APIs, React frontends, PostgreSQL, and AWS.
• Support event-driven architectures using Kafka, SQS, or similar technologies.
• Write reliable, testable code with a focus on maintainability and observability.
• Collaborate on prompt engineering and evaluation of AI outputs.
• Help monitor, debug, and improve system performance and reliability.
• Work with AI development tools (e.g., Cursor, Copilot, Claude) to enhance productivity.
• Partner with senior engineers on system design and technical decisions.

Qualifications

• 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.

Nice to Have

• Experience in healthcare or dental technology.
• Exposure to agent frameworks or LLM orchestration patterns.
• Experience with ETL pipelines or data integration.
• Multi-tenant SaaS experience.
• Infrastructure as Code experience (e.g., Serverless Framework).

Benefits

• Competitive compensation and benefits.
• Ongoing training and development opportunities.
• Flexible, uncapped PTO.
• Remote work environment.