Staff Agentic Platform Engineer at Pearl

Staff Agentic Platform Engineer

Pearl

United States - Remote

Posted April 1, 2026

About Pearl

Pearl develops FDA-cleared computer vision capabilities for the interpretation of 2D and 3D dental imagery. AI is not just what Pearl builds, it is how they build. The company seeks engineers who leverage AI tools to amplify productivity.

Role Overview

The position targets a Staff Engineer who can spot a problem, determine what needs to be done, and drive it to resolution. The role encompasses three critical areas:

1. Real-Time Clinical AI Workflows: Building systems for live clinical audio capture, WebSocket-based transcription streaming, and LLM-powered documentation generation.

2. Agentic Systems: Designing autonomous agents using LLM tool-calling (Amazon Bedrock) with event ingestion and cross-system action capabilities.

3. Dental Data Intelligence: Developing data pipelines that normalize and enrich fragmented practice management system data for analytics.

Key Responsibilities

Own transcription and LLM summarization pipelines with streaming and structured outputs

Build agentic systems with tool-calling loops, MCP integrations, and safety guardrails

Develop full-stack solutions: Node.js/TypeScript APIs, React frontends, PostgreSQL, AWS services

Design event-driven data pipelines (Kafka, SQS) across external systems

Apply test-driven development practices for complex, non-deterministic systems

Operate built systems through monitoring, debugging, cost management, incident response

Proactively identify and resolve problems independently

Collaborate on prompt engineering and AI output evaluation

Use AI assistants daily as core development workflow

Requirements

8+ years professional experience

Strong ownership mindset and responsibility for outcomes

Ability to ramp quickly in unfamiliar systems independently

High resourcefulness navigating ambiguity and undocumented systems

Node.js/TypeScript (async patterns, APIs)

React (production-grade UIs, real-time experience preferred)

AWS (Lambda, SQS, S3; Bedrock preferred)

PostgreSQL (schema design, optimization)

Event-driven systems experience (Kafka, SQS)

LLM systems expertise: prompt engineering, structured outputs, tool calling, agent loops

Data integration experience with unreliable external systems

Test-driven development proficiency

Daily use of AI tools (Cursor, Claude, Copilot)

Nice-to-Have

Healthcare or dental experience

Speech-to-text systems (Deepgram, Whisper, AWS Transcribe)

Model Context Protocol (MCP) familiarity

Multi-tenant SaaS experience

Infrastructure as Code (Serverless Framework)

ETL or large-scale data integration background

Benefits

Competitive compensation and benefits

Ongoing training and development opportunities

Unaccrued, flexible PTO

Remote work