What are the responsibilities and job description for the Contract Role:Full-Stack Software Engineer – AI Vision Systems (Edge & Cloud)-Dearborn, MI (On-Site) position at TechnoSphere, Inc.?
Job Title: Full-Stack Software Engineer – AI Vision Systems (Edge & Cloud)
Location: Dearborn, MI (100% On-Site)
Job Type: Contract
About the Role:
We are seeking an experienced Full-Stack Software Engineer to build the software ecosystem powering our next-generation AI Vision Systems. You will develop the "connective tissue" between high-performance machine learning models running on edge hardware and our Google Cloud-based analytics backend. This is a hands-on role for an engineer who is passionate about bringing AI out of the lab and into the real world.
Responsibilities:
• Edge Software Integration: Develop and optimize software to deploy machine learning models on edge devices (NVIDIA Jetson/Thor), ensuring low-latency performance for real-time vision tasks.
• Full-Stack API Development: Build scalable RESTful APIs and microservices (Python/C ) that allow edge devices to communicate seamlessly with cloud backends.
• Data Architecture: Design and manage data pipelines using Google Cloud tools (BigQuery, Postgres) to handle real-time image/video data and model telemetry.
• Web Interfaces: Create intuitive, high-performance web-based dashboards (React/TypeScript) for monitoring system health and visualizing AI-driven insights.
• AI-Augmented Engineering: Heavily leverage Agentic AI tools and LLM-assisted workflows to accelerate development cycles and maintain high code quality.
• Cross-Functional Delivery: Collaborate with Data Scientists to containerize models (Docker/Kubernetes) and with Hardware Engineers to validate performance on the factory floor.
Required Qualifications:
• Experience: 3 years of professional software engineering experience in a production environment.
• Edge Development: Proven experience deploying software to edge computing hardware or IoT devices.
• Backend Mastery: Strong proficiency in Python (required) and at least one other language (C , Go, or Node.js).
• Cloud Fluency: Experience building on Google Cloud Platform (GCP) or similar (AWS/Azure), specifically with managed database services.
• Modern Frontend: Experience building responsive web applications with React or similar modern frameworks.
• DevOps Basics: Familiarity with Docker, CI/CD pipelines, and version control (Git).
Desired Skills:
• Experience with OpenCV, TensorRT, or OpenVINO for vision optimization.
• Familiarity with ML frameworks like PyTorch or TensorFlow.
• Knowledge of industrial protocols (MQTT, WebSockets) for real-time data streaming.
• A passion for "Agentic" workflows and continuous improvement.