Senior Software Engineer
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 2d ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 11d ago
The date the source published, not the day we noticed it (2026-09-29). Last seen at its source 2h ago.
We have tracked this listing since 5 Oct 2026 (5 days). The employer's own board has carried it every time we have read it, most recently 2 hours ago.
Is it remote?
United States - Remote
That is the location the employer filed this posting under. Quoted as written — we do not re-word the source's own location.
Who may apply?
United States
The description states no restriction of its own. This is the source's own tag.
Pay not stated
Similar roles pay $167.5k–231.5k/yr
Middle 50% of 2264 listings that do state pay — Engineering · Senior · United States · USD/year. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
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Ashby employer's own board first seen 5d ago · last seen 2h ago
The listing
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
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