Staff Fullstack Engineer - Internal Tools

What you'll do

• Translate benchmark and data-quality requirements into technical designs and build workforce-management tools and review workflows.
• Set architecture and technical direction across services; extend evaluation and audio-quality pipelines, API governance, and ChatOps automation.
• Improve worker reliability, testing, CI/CD, deployment practices, and engineering quality through reviews, design documents, and mentoring.

What they ask for

• 5+ years of professional full-stack software engineering experience, owning production systems end-to-end across multiple runtimes or languages.
• Deep experience with a Python backend framework and async SQLAlchemy/Postgres, plus production experience in a statically typed backend language.
• Strong React/TypeScript experience and experience building and operating background job or worker systems.
• Experience integrating third-party/platform APIs and LLM APIs, building guarded chat-platform automations, and operating internal tools or platforms.

Nice to have

• Experience with audio/speech pipelines, audio-quality metrics, or inter-annotator agreement metrics.
• Experience building tools for data-labeling or crowdsourced-contributor workforces, or LLM-based QA/review pipelines.

Pay

$150K – $221K (base salary)

Tools

Python, FastAPI, SQLAlchemy, Postgres, Go, Java, React, TypeScript

AI focus

Supports Applied AI benchmarking and evaluation-data delivery; extends LLM-based QC, annotator outlier detection, ASR/audio-quality pipelines, and ChatOps workflows. The posting also states AI tools may assist in hiring evaluation, with final decisions made by people.