Staff Agentic Platform Engineer

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