Product Engineer (Full-Stack)

Company : International Staffing Consultants, Inc.

Location : San Francisco, CA, 94199

Posted Date : 8 October 2025

Job Type : Other

Category : Industrial Engineering

Occupation : Product Engineer

Job Details

Product Engineer (Full-Stack)
About the Role
We're looking for a product-minded full-stack engineer to join an early-stage team working at the intersection of AI, audio, and data infrastructure . This is a unique opportunity to come in as one of the first 10 hires and help shape both the product and engineering culture from the ground up.
You'll work closely with researchers, designers, and operations to build end-to-end features, scalable pipelines, and intuitive interfaces that support new ways of working with audio and language data. The role calls for someone who enjoys rapid prototyping but can also scale solutions for production use.
What You'll Do

Design, build, and ship full-stack features that have a direct impact on customers.
Develop data processing pipelines to handle high-volume audio and language data.
Deploy and evaluate ML/LLM-powered solutions to extract insights and improve user workflows.
Collaborate cross-functionally to quickly test new product ideas and translate research into user-facing tools.
Stay up to date on modern frameworks, languages, and approaches to keep our stack future-ready.

What We're Looking For

2-8 years of professional software engineering experience, ideally in a startup or high-growth environment .
Solid full-stack background - comfortable moving between backend systems, APIs, and polished frontends.
Proven ability to deliver customer-facing features from concept through to production.
Familiarity with building scalable systems (data pipelines, event-driven architectures, or distributed systems).
Strong programming experience with JavaScript/TypeScript and one or more backend languages (Node.js, Python, Go, etc.).
Curiosity about AI/ML and excitement to apply it in real products - prior audio, signal processing, or LLM experience is a plus, but not required.

Bonus Points

Experience deploying ML models in production.
Background in audio technology - music, voice interfaces, or digital signal processing.
Prior tech-lead or mentorship experience in a startup environment.

Tech Stack We Use

Frontend: Next.js, React, TypeScript, TailwindCSS
Backend: Node.js, tRPC, PostgreSQL
Infra: AWS, Docker, Kubernetes, Terraform
Audio/Video: WebRTC, FFmpeg

Why Join

Early opportunity to make a foundational impact on both product and culture.
Work on products at the cutting edge of AI and audio .
Highly collaborative, small-team environment with rapid iteration and ownership.
Competitive compensation package, including equity.
Benefits include flexible PTO, health coverage, and daily meals provided in-office.