Senior Agentic Software Engineer

About Pearl
Pearl is shaping the future of dentistry with a suite of AI solutions developed to establish higher standards of quality and care for patients worldwide. Since 2019, our team has engineered FDA-cleared computer vision capabilities for the interpretation of 2D and 3D dental imagery — industry-leading capabilities which clinicians, practice owners, labs, and insurers use to elevate the efficiency, accuracy, and consistency of dental care around the world.
At Pearl, we believe AI isn’t just what we build—it’s how we build. We’re looking for engineers who embrace AI-powered development tools to amplify their output and ship better software, faster.

The Role
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

What You’ll Need to Succeed
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

Familiarity with speech-to-text systems (e.g., Deepgram, Whisper, AWS Transcribe)

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)

What We Offer
Competitive compensation and benefits

Ongoing training and development opportunities

Flexible, uncapped PTO

Remote work environment