O

Overview AI

AI-driven inspection systems for manufacturing quality

Senior Lead Full Stack Python Engineer

Full-Stack EngineeringConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • At least 7 years of experience building full-stack web applications and a track record of shipping products end to end at Senior, Staff, or Lead level.
  • Experience leading engineers formally or as a tech lead, including setting direction, reviewing work, and growing people while remaining hands-on.
  • Expert-level Python experience for backend services, APIs, and data or tooling work, using FastAPI, Django, or Flask.
  • Strong proficiency in React and TypeScript for modern web interfaces.
  • Experience designing and operating distributed or fleet-scale systems, including device management, over-the-air or staged updates, monitoring and alerting, and offline-first or air-gapped deployments.
  • Experience building LLM-powered or GenAI product features, including LLM APIs, prompt engineering, MCP, or agent workflows, or a strong passion and demonstrated aptitude for this work.
  • Professional experience using AI agent tools such as Claude Code, Cursor, or Copilot to architect solutions and solve difficult problems efficiently.
  • Experience with Docker, Git, CI/CD, and cloud deployment.
  • A product mindset, sound judgment under ambiguity, and the ability to drive a tool from idea to shipment without a detailed specification.
  • Fluency in written and spoken English and Mandarin.
  • Comfort with about 50% travel to China, including extended stays at customer sites.

Responsibilities

  • Lead the Internal Tools team by setting its roadmap, priorities, and engineering standards; mentor and grow engineers; run planning and reviews; hire as the scope grows; and continue shipping code weekly.
  • Own products for deploying, configuring, updating, and monitoring thousands of cameras across many sites, including device management, recipe versioning and distribution, staged and canary updates with rollback, fleet health monitoring and alerting, telemetry, and log tooling.
  • Scale OV Vault, OV Fleet, OV Train, and OV Hub from working v1 services into a reliable, modular platform deployable independently or as a suite, including in air-gapped factory networks without internet access.
  • Design and ship LLM-powered tools that make monitoring and deploying large camera fleets easier.
  • Build and own full-stack tools, from React and TypeScript frontends to Python backends, APIs, and MCP servers.
  • Integrate tools with the edge-AI stack, including camera fleets, inference outputs, recipes, and firmware, so they work with real inspection data.
  • Prototype quickly, put tools in front of users, iterate, turn rough ideas into shipped products, and improve them based on real usage.
  • Travel to customer factories in China for installations, upgrades, and critical support; train customer teams; troubleshoot integrations with existing factory systems; and bring field learnings back into the product.
  • Ensure performance, reliability, user experience, and code quality; own the final design and solution when using coding agents.

Desired Qualifications

  • Hands-on experience with big data infrastructure, vector databases, or agent-orchestration frameworks.
  • Familiarity with computer vision, manufacturing, or industrial automation, including factory protocols such as OPC UA and Modbus, and MES/ERP integration.
  • Experience with time-series databases and S3-compatible or NAS storage.
  • GPU computing or ML operations experience, including CUDA or TensorRT.
  • Previous 0-to-1 product development or founding-engineer experience.

About the Company

Overview AI

AI-driven inspection systems for manufacturing quality

Overview.ai is an industrial automation company that develops AI-powered inspection systems for manufacturing. Its flagship OV20i blends a vision system with a vision sensor and includes an integrated NVIDIA GPU, storing up to 300,000 images and running complex algorithms without programming. The product uses deep learning and computer vision to improve quality control by detecting defects and streamlining inspections in dynamic environments. The company sells its proprietary hardware and software directly, with long-term service agreements as part of its business model. Backed by investors like Y Combinator and Bain Capital Ventures, Overview.ai aims to help manufacturers increase precision and efficiency in inspection processes and expand accessibility of advanced AI-powered quality control across diverse manufacturing applications.

Company size
51-200
Company stage
Series A
Total funding
$10.1M
Headquarters
San Francisco, CA
Founded
2018

Recently Posted Jobs

Explore more opportunities at Overview AI

See more jobs