Senior Vision & Agentic AI Engineer — Remote

Centific; Seattle, Northern (WA, KY); Hybrid; USD 160,000 - 220,000; Full time

Job summary

Centific is seeking an AI Engineer specialized in Vision AI, agentic and physical AI to bridge research and production. You will design and deploy AI systems across vision, language, video, and simulation, partnering with research, data science, and platform engineering teams.

You will work on practical and frontier problems, from perception and dexterity to autonomous decision-making, with hands-on experience in modern AI/ML systems and multimodal architectures.

Qualifications

• Master's degree in Computer Science, Machine Learning, or equivalent practical experience.
• 5+ years of experience building and deploying large scale AI/ML systems in production.
• Strong programming skills in Python and experience with ML frameworks (PyTorch, TensorFlow, or JAX).
• Hands-on experience with Vision AI (image/video models, tracking, 3D vision or multimodal perception).

Responsibilities

• Design, build, and deploy AI/ML systems across Vision AI, multimodal AI, agentic AI, and Physical AI use cases.
• Develop pipelines for video understanding, tracking, and autonomous workflows.
• Collaborate with research and engineering teams to productionize models using NVIDIA NeMo, Riva, Triton, and related SDKs.
• Provide data pipelines for large-scale structured/unstructured data and monitor model performance in production.

Skills

Python

Vision AI

Multimodal AI

LLMs & VLMs

Production deployment

Communication

Education

Master's degree in Computer Science / ML

Tools

NVIDIA NeMo

Riva

RAPIDS

Triton

Isaac Sim

Omniverse

AWS Bedrock

GCP Vertex AI

Kubernetes

Docker

Job description

Centific is seeking an AI Engineer specialized in Vision AI, agentic and physical AI to bridge research and production. You will design and deploy AI systems across vision, language, video, and simulation, partnering with research, data science, and platform engineering teams.

You will work on practical and frontier problems, from perception and dexterity to autonomous decision-making, with hands-on experience in modern AI/ML systems and multimodal architectures.