Here’s a secret between you and me: even the world’s largest manufacturers, companies like Tesla and Toyota, waste billions of dollars every year making products with quality issues. Building high-quality things at scale is incredibly hard. It doesn’t just happen because you hire smart people or buy good machines. It requires seeing problems early, understanding them deeply, and acting in real time, something factories were never designed to do.
At Overview.ai, we’re changing that. We build custom hardware, edge AI, and software systems that give manufacturers real visibility into how their products are actually being made. Our technology helps catch defects earlier, reduce waste, and fundamentally improve how factories operate. This work matters, not just for our customers, but for keeping American manufacturing competitive in a world that’s moving faster every year.
The ideal candidate will have a strong background in software engineering and will develop web interfaces, ensuring the responsiveness of applications. This position will requiring good organizational skills and attention to detail to build the best possible product for our users. As a full stack engineer, this position will also encompass backend python development.
Be responsible for building, deploying, testing, and maintaining clean user interfaces for our product which manages the full AI data cycle, including capture, labelling, AI training, and operator interfaces
Work closely with our AI teams to prototype, test, and ship user-facing features, balancing user experience with product & engineering constraints
Work with technologies like: Typescript, React/Redux for web front end, Python for backend systems, Github, & Docker
Execute feature changes based on user feedback, recommend and execute improvements
Over four years of professional experience in full-stack software development.
Proven track record in designing, developing, and maintaining complex full-stack applications.
Experience or strong familiarity with the company’s technology stack, including React, TypeScript, Redux, Python, PostgreSQL, and Ant Design.
Advanced proficiency in front-end development with React and CSS, as well as expertise in Python, database technologies, and Docker containerization.
Experience developing software for resource-constrained environments such as Raspberry Pi is highly desirable.
Prior exposure to WebAssembly and sandboxed environments is considered an asset.
Experience working with low-level hardware such as Linux single-board computers (SBCs) or GPUs is advantageous.
Previous experience in a startup environment is a plus.
Strong proficiency in English, both written and verbal, to effectively collaborate in a cross-functional, international team.
We build edge AI inspection systems that run directly on GPU-enabled industrial cameras and deploy on real manufacturing lines. The hard problems are end-to-end and production-grade: designing low-latency inference pipelines, deterministic triggering and buffering, on-device data capture for fast debugging, safe/atomic updates, and fleet-scale rollout across many sites. Our team spans web developers (building local configuration and monitoring UIs that run on the camera), AI/ML engineers, embedded + firmware engineers, and AI infrastructure engineers who own training pipelines, data/versioning, deployment tooling, and reliability.
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