Senior Full-Stack Engineer

Interview Copilot AI is building a privacy-first desktop assistant for live job interviews. This applied AI product role centers on our React and Electron client, TypeScript services, Cloudflare API, PostgreSQL, real-time streaming, and LLM integrations.

The work is product engineering rather than ML research. You do not need experience training foundation models. We value engineers who know how to turn AI and speech services into fast, reliable, thoughtful user experiences.

What you’ll do

• Own features end to end—from product thinking and UI implementation to APIs, data models, deployment, and observability.

• Build polished desktop experiences with TypeScript, React, and Electron.

• Design and maintain reliable backend APIs and PostgreSQL schemas.

• Improve low-latency transcription, question detection, answer streaming, and conversation-aware workflows.

• Integrate LLM and speech-AI providers with sensible fallbacks, evaluation, privacy, and cost controls.

• Debug across the stack and make pragmatic architecture decisions as the product evolves.

• Raise the bar for testing, security, performance, and maintainability.

What we’re looking for

• A strong track record of shipping production software across a modern frontend and backend.

• Deep working knowledge of TypeScript and React.

• Experience designing backend APIs and working with PostgreSQL.

• Product judgment: you can turn an ambiguous user problem into a simple, dependable feature.

• Clear written communication and the ability to work autonomously.

• Care for privacy, reliability, and the details users notice.

Valuable experience

• Electron or another desktop application framework.

• WebSockets, streaming systems, or other real-time application patterns.

• Real-time audio capture, transcription, or speech processing.

• Cloudflare Workers or Cloudflare’s developer platform.

Bonus

• Production LLM integrations, including structured outputs, prompt design, evaluation, provider fallbacks, and latency or cost optimization.

• Experience integrating speech-to-text or other speech-AI APIs.

You might lean toward backend product work, frontend product work, or move comfortably between both. What matters most is that you can ship high-quality features across boundaries.

Remote working

This is a full-time, fully remote role. Applicants are welcome from anywhere in the world.

Hiring process

The hiring process is conducted remotely through video interviews, including conversations about your experience and relevant product-engineering work.

Learn more about Interview Copilot AI:

Originally posted on Himalayas