Staff Fullstack Engineer - Internal Tools
New
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LILTAI software
Remote USFull-TimeStaff
SalaryRemote US $190K – $230K • Offers Equity
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Job Details
- Experience
- 5+ years of professional full-stack software engineering experience
- Required Skills
- PostgreSQLPythonTypeScriptFastAPIGoReactCI/CD
Requirements
- Bring 5+ years of professional full-stack software engineering experience.
- Have a track record of owning production systems end-to-end across more than one runtime or language.
- Have deep experience with a Python backend framework such as FastAPI, plus async SQLAlchemy and Postgres.
- Have production experience in a statically typed backend language such as Go or Java.
- Have strong React and TypeScript experience, including component architecture, state management, and a modern data-fetching layer.
- Have experience building and operating background job or worker systems with failure tolerance and idempotency.
- Have integrated third-party and platform APIs, including GitHub API, OAuth/OIDC SSO, and an LLM API.
- Have built Slack or comparable chat-platform bot integrations that automate internal workflows with operational guardrails.
- Be comfortable extending applied-statistics or ML-adjacent code, such as agreement metrics or audio-quality scoring.
- Understand CI/CD, containerized deployment, and infrastructure-as-code.
- Have debugged and optimized native-library memory growth in long-running Python worker processes using boundary-aware process recycling.
- Have built and owned internal platforms or tools that increase leverage for non-engineering teams.
Responsibilities
- Translate benchmark and data-quality requirements from researchers and TPMs into scoped technical designs.
- Own internal workforce-management tools for contributor vetting, assessment, quality control, payment and delivery tracking, and roster and reporting exports.
- Set architecture and long-term technical direction across multiple services and the platform.
- Extend inter-annotator agreement and audio-quality pipelines, including outlier detection, ASR sidecars, LLM-based quality control, and DNSMOS/librosa scoring.
- Design and ship platform modules for benchmark and vetting workflows in the multi-stage review lifecycle.
- Own and extend API key provisioning and budget-governance systems.
- Build self-serve ChatOps automation for engineering teams and contributors.
- Harden background workers and job-processing infrastructure.
- Set and enforce testing, CI/CD, deployment, infrastructure-as-code, and release practices across both codebases.
- Raise engineering standards through code reviews, design documents, and mentoring.
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