Remesh builds an AI-assisted research platform for holding live, large-scale conversations with audiences. Organizations use it to understand customers, employees, and communities while preserving the depth of qualitative feedback.

Software Engineer

Build and scale product features, AI-assisted workflows, and cloud services for Remesh's real-time audience-conversation platform.

Salary
$135,000–$170,000/year plus equity
Commitment
Full-time · four-day workweek
Remote region
Remote · United States
Engagement
Full-time employee
Duration
Permanent

About this role

This engineer will develop customer-facing product capabilities and the services behind Remesh's live research platform. The role includes designing, building, testing, and operating software that combines real-time conversation, audience analysis, and AI-assisted research workflows.

The team uses AI development tools as part of its engineering process and is exploring product experiences built around agents and large language models. The engineer will collaborate across product and design, make pragmatic architecture decisions, and help improve delivery quality, observability, and maintainability in the cloud.

Role requirements and focus

What you’ll work on

  • Ship reliable product experiences that help research teams understand large groups without losing the nuance of individual responses.
  • Improve the speed and quality of software delivery by applying sound engineering practices and practical AI-assisted development workflows.

What they’re looking for

  • Professional experience building and maintaining production software with a language such as JavaScript, TypeScript, Python, Ruby, Java, Go, or Rust.
  • Comfort using modern AI development tools, collaborating across disciplines, testing software thoroughly, and taking ownership from problem definition through production operation.

Skills and focus

  • Full stack
  • Full-time employee
  • JavaScript or TypeScript
  • Python
  • AI-assisted development
  • AI agents
  • Cloud services
  • Automated testing

Useful context

Specialty

Full stack

Work type

Full-time employee

Source

Remesh / Greenhouse

Last verified

Sep 12

Verification context

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