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

Work Location: In person