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# Backend Engineer

- **Company:** CLERA, LLC
- **Location:** San Francisco, CA, United States
- **Experience:** Experienced
- **Salary:** $70,000.0 - $100,000.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Cloud Computing, Relational Databases, Distributed Systems, IP Pbx, Python (Programming Language), Node.Js, SQL Databases, TypeScript, Datadog, Large Language Models, Backend, Event Driven Architecture, Build Management, Low Latency
- **Published:** June 8, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=2606bad10adcfc66

## About the Role

Do you have experience in SQL databases?, * Required: 3+ years building production backend systems, ideally in Python or TypeScript/Node

 * Comfort with distributed systems, queues, and event-driven architectures
 * Experience with cloud infrastructure (AWS or GCP), relational databases, and modern observability tooling
 * Strong product instinct and ownership mindset-you can scope, ship, and iterate independently
 * Nice to have: Experience with LLM agents, voice systems (telephony, ASR/TTS), browser automation, or regulated healthcare environments

## Description

As one of the first backend engineers, you will own core services powering AI voice and browser agents deployed in live production environments. You will build reliable, low-latency systems that orchestrate agent workflows, integrate with healthcare systems and third-party portals, and maintain data security standards. You will work directly with founders and ship into customer environments regularly., * Design and build core backend services and APIs that orchestrate AI voice and browser agents

 * Build integrations with EHRs, scheduling systems, and insurance/payer portals
 * Own reliability, observability, and performance of agent workflows in production
 * Partner directly with leadership on architecture, technical tradeoffs, and product direction
 * Help shape engineering culture, hiring, and operational practices as the team scales


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