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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Full Stack Developer & AI/ML Engineer - Vision AI - **Company:** Proconex Inc - **Location:** United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Computer Vision, Nvidia CUDA, Software Design Patterns, Python (Programming Language), Machine Learning, OpenCV, Tensorflow, Smart Devices, Software Engineering, TypeScript, Visual Systems, Pytorch, Convolutional Neural Networks, Keras, Kubernetes, Infrastructure Automation Frameworks, ONNX (Open Neural Network Exchange) Format, Domain Driven Design, Data Pipelines - **Published:** July 17, 2026 - **Apply:** https://www.dice.com/job-detail/eb4b5743-0438-4c39-856f-1b749b56c81f ## About the Role * 7+ years' experience in software development coupled with an understanding of computer vision and machine learning algorithms. * Strong hands-on experience deploying edge devices and AI systems in production * Proficiency in Python, TypeScript and modern ML frameworks (e.g., PyTorch, TensorFlow, Keras) * Deep knowledge of Video / Image processing tools (e.g. Mask R-CNN, ResNet, U-Net, OpenCV) * Mastery of model interchange and GPU acceleration (e.g. ONNX, CUDA, cuDNN) * Experience working with image/video pipelines, container orchestration (local and cloud) * Domain-Driven Design., * Experience with real-time vision systems * Background in industrial automation or regulated environments * Experience with edge or cloud deployment * Ability to communicate complex technical topics clearly, Candidates must be legally eligible to work in the United States without company sponsorship. Also, we are not interested in working on a corp-to-corp basis with other companies at this time. ## Description Linque is expanding its Vision AI and Cognitive Automation platform, which focuses on applying real-time computer vision and AI to industrial, biopharmaceutical, and process manufacturing environments. We are seeking a Senior Development Engineer with experience in Vision AI and OpenCV to help lead the development, deployment, and customer-facing application of advanced vision AI solutions. This role sits at the intersection of deep technical execution, platform development, and real-world industrial use cases. The successful candidate will have a deep understanding of Domain-Driven Design patterns and be able to integrate Vision AI/ML. Additionally, this role will need to understand how to improve data pipeline performance by developing computationally efficient algorithms that run standalone on edge devices such as Nvidia Jetson hardware. This role will also require supervisory experience to manage and assign tasks to full-stack developers and interface with the core Vision AI team as they develop new models for deployment., * Design, develop, and deploy production-grade computer vision and machine learning models * Build optimized end-to-end vision pipelines for real-time and near-real-time applications * Translate complex industrial problems into scalable AI architecture * Collaborate cross-functionally with product, engineering, and commercial teams * Participate in technical customer discussions, pilots, and evaluations * Support prototypes through pilot and production transitions * Mentor junior engineers and contribute to technical best practices ## Related Videos - [Making neural networks portable with ONNX](https://www.wearedevelopers.com/videos/301-making-neural-networks-portable-with-onnx) - [Machine learning in the browser with TensorFlowjs](https://www.wearedevelopers.com/videos/155-machine-learning-in-the-browser-with-tensorflowjs) - [Deepfakes in Realtime - How Neural Networks Are Changing Our World](https://www.wearedevelopers.com/videos/180-deepfakes-in-realtime-how-neural-networks-are-changing-our-world) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. Live Coding)](https://www.wearedevelopers.com/videos/100196-photonic-computing-programming-a-new-class-of-ai-accelerators-incl-live-coding) - [Shipping Faster with Less: Render on Cloud Hosting, AI Workloads, and the Future of DevOps](https://www.wearedevelopers.com/videos/1894-shipping-faster-with-less-render-on-cloud-hosting-ai-workloads-and-the-future-of-devops) - [Overview of Machine Learning in Python](https://www.wearedevelopers.com/videos/840-overview-of-machine-learning-in-python) ## Related Articles - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere) - [Best US AI Conferences for CTOs in 2026: Build vs. Buy, Vendor Evaluation, and Peer Intelligence](https://www.wearedevelopers.com/magazine/736-best-us-ai-conferences-for-ctos-in-2026-build-vs-buy-vendor-evaluation-and-peer-intelligence) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Why Attend a Developer Event in 2026?](https://www.wearedevelopers.com/magazine/688-why-attend-a-developer-event-in-2026) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development)