Industrial AI Vision Engineer – Edge & Cloud

Nexxa.AI; San Francisco (CA); On-site; USD 150,000 - 210,000; Full time

Benefits offered by this job

Competitive salary and equity

Professional growth

Collaborative culture

Job summary

Nexxa.AI is seeking an AI Vision Engineer to design, build, and deploy advanced computer vision systems for real-world industrial applications. You will work across the full vision stack, from classical CV to multimodal models, and deploy real-time inference at the edge and in the cloud.

You will collaborate with AI and engineering teams to improve model performance, develop production-ready vision solutions, and shape the next generation of intelligent industrial visual systems.

Qualifications

• 3+ years of industry experience in Computer Vision, ML, or Applied AI.
• Strong Python programming skills.
• Hands-on experience with PyTorch and modern DL workflows.
• Experience deploying CV models (detection/segmentation/classification/OCR) in production.
• Experience with OpenCV.
• Experience with YOLO, Detectron2, MMDetection or similar frameworks.
• Experience with VLMs and multimodal AI applications.
• Strong ML fundamentals, model evaluation, experimentation, and deployment.
• Experience with Hugging Face Transformers and open-source AI ecosystems.
• Familiarity with data annotation workflows, hyperparameter tuning, and inference optimization.
• Experience building production-grade software and AI systems.
• Strong analytical and problem-solving skills.
• Excellent communication and collaboration skills.

Responsibilities

• Design, train, evaluate, and deploy CV models for real-world industrial applications.
• Build and optimize CV pipelines for detection, segmentation, classification, OCR, tracking, and visual understanding.
• Develop and fine-tune vision-language models for multimodal reasoning and document understanding.
• Design and optimize real-time inference pipelines for edge devices and the cloud.
• Build scalable data pipelines for image/video collection, augmentation, training and evaluation.
• Fine-tune and evaluate open-source CV/multimodal models using modern frameworks.
• Develop robust evaluation frameworks and benchmarks measuring accuracy, latency and business impact.
• Optimize models for production constraints (quantization, pruning, hardware acceleration).
• Collaborate with product and engineering teams to translate requirements into technical vision solutions.
• Contribute to architecture decisions and AI/CV best practices.
• Stay current with CV, multimodal AI, and autonomous systems.

Skills

Python

PyTorch

OpenCV

YOLO / Detectron2 / MMDetection

Vision-Language Models

Hugging Face Transformers

Edge inference

LangChain / LangGraph

ML/Ops

Docker / Kubernetes

Cloud/AWS/GCP

Education

Bachelor's degree in Computer Science / Computer Engineering / Electrical Engineering or related field

Master's degree preferred

Tools

Docker

Kubernetes

PostgreSQL

LangChain

CUDA/GPUs

Job description

Nexxa.AI is seeking an AI Vision Engineer to design, build, and deploy advanced computer vision systems for real-world industrial applications. You will work across the full vision stack, from classical CV to multimodal models, and deploy real-time inference at the edge and in the cloud.

You will collaborate with AI and engineering teams to improve model performance, develop production-ready vision solutions, and shape the next generation of intelligent industrial visual systems.