Full-Stack Engineer (Vision & Robotics)

About the Role We are building a vision and robotics software platform that connects AI models, cameras, robots, PLCs, and user-facing applications into production-ready systems deployed across edge and cloud. We’re hiring a Full-Stack Engineer who can work across frontend, backend, and cloud infrastructure, and is comfortable building systems that run on AWS and/or Azure, often in hybrid cloud–edge environments. This is not a pure web role. You will be building the platform layer that vision and robotics applications depend on. What You’ll Build Cloud-connected vision and robotics platforms (edge ↔ cloud) AI inference orchestration and workflow management services Web-based interfaces for operators, engineers, and administrators APIs that coordinate vision, logic, motion, and device state Deployment pipelines for edge and cloud environments Responsibilities Design and implement end-to-end platform features (UI → API → service → device) Build scalable backend services for vision and robotics workflows Develop frontend applications for monitoring, configuration, and operations Integrate AI inference services (vision, OCR, detection, tracking) Interface with robots, PLCs, cameras, and edge devices Deploy and operate services on AWS and/or Azure Design hybrid architectures spanning edge devices and cloud services Implement authentication, authorization, logging, and monitoring Optimize performance, reliability, and cost in cloud environments Core Tech Stack Frontend React + TypeScript Dashboard-style and workflow-driven UIs Backend / Platform Python (FastAPI preferred) and/or Node.js RESTful APIs, async services, job orchestration Cloud & Infrastructure AWS and/or Azure (EC2, ECS/EKS or AKS, S3/Blob, RDS/SQL, IAM) Docker (required) CI/CD pipelines Linux-based deployments Vision / Robotics Integration AI inference pipelines (ONNX, TensorRT, Triton, or equivalent) Camera integration (GigE, USB, IP cameras) Robot / PLC integration via SDKs, APIs, or industrial protocols Qualifications 3+ years experience in full-stack or platform engineering Hands-on experience deploying and operating systems on AWS or Azure Strong backend and API design fundamentals Experience building production systems with hardware or edge components Comfortable working across software, infrastructure, and integration layers Strong Plus (Not Required) Hybrid cloud–edge architecture experience Kubernetes (EKS / AKS) Industrial automation or robotics exposure Computer vision system integration Who You Are Platform-minded engineer, not feature-only focused Comfortable owning systems end-to-end Practical, execution-driven, and detail-oriented Interested in real-world AI, robotics, and automation What We Offer Ownership of core platform and cloud architecture Real deployments, not lab projects Small technical team with high autonomy Competitive compensation and growth opportunities Pay: $90,000.00 - $115,000.00 per year Benefits: Health insurance Paid time off Application Question(s): Have you worked on software systems that integrate computer vision, robotics, or hardware-adjacent devices (cameras, robots, PLCs, edge devices)? Have you built and deployed a system end-to-end (frontend, backend APIs, infrastructure)? Work Location: In person