Senior AI Engineer — Vision & Agentic AI, Remote

Centific; Redmond (CO); On-site; USD 160,000 - 220,000; Full time

Job summary

Centific is a frontier AI data foundry building Vision AI, agentic systems, and Physical AI solutions. We seek an AI Engineer who bridges research and production across vision, language, video, and simulation workflows. You will collaborate with research, data science, and platform engineering to deliver scalable, customer-ready AI systems.

This role emphasizes hands-on experience with modern AI/ML systems, multimodal architectures, and deployment in practical robotics and autonomous contexts.

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 solid experience with PyTorch, TensorFlow, or JAX.
• Hands-on experience with Vision AI, including image/video models, object detection, tracking, segmentation, grounding, video analytics, 3D vision, or multimodal perception.
• Experience with Generative AI, including LLMs, VLMs, multimodal pipelines, RAG, agents, or agent orchestration frameworks.
• Familiarity with agentic AI concepts such as tool use, planning, workflow orchestration, and memory; experience with agentic memory or knowledge-graph-backed agents is a plus.
• Experience working with NVIDIA AI ecosystem tools such as NeMo, RAPIDS, Riva, Triton, and exposure to Isaac Sim / Omniverse or related simulation environments.
• Experience building scalable inference or training pipelines on GPU infrastructure, with familiarity in performance optimization, distributed systems, or high-performance networking.
• Ability to design experiments, evaluate hypotheses, and implement optimization workflows for real-world AI systems.
• Strong communication skills and ability to work directly with customers, researchers, and cross-functional engineering teams.

Responsibilities

• Design, build, and deploy AI/ML systems across Vision AI, multimodal AI, agentic AI, and Physical AI use cases.
• Develop and integrate models for video understanding, image perception, tracking, multimodal reasoning, autonomous workflows, and robotics-related tasks.
• Work with research and engineering teams to productionize models using platforms such as NVIDIA NeMo, Riva, RAPIDS, Triton, Isaac stack, AWS Bedrock, GCP Vertex AI, and related SDKs.
• Build pipelines for large-scale structured and unstructured data, including video, audio, sensor, and text data.
• Implement and optimize model inference, evaluation, monitoring, drift detection, and governance workflows in production environments.
• Support experimentation with LLMs, VLMs, world models, agent frameworks, tool-using agents, and memory-enabled agentic systems.
• Contribute to AI systems for simulation, digital twins, robotics perception, dexterous manipulation, long-horizon task execution, autonomous driving, and edge-case evaluation.
• Perform data analysis, error analysis, benchmarking, and model improvement for robustness, safety, and generalization.
• Collaborate directly with customers and internal teams to identify relevant datasets, define success metrics, and translate business needs into AI system design.
• Help build reusable internal frameworks, accelerators, and data products for multimodal and agentic AI deployments.

Skills

Python

PyTorch

TensorFlow

JAX

Vision AI

Generative AI

LLMs

Multimodal pipelines

GPU infrastructure

Distributed systems

Education

Master’s degree in Computer Science, Machine Learning, or equivalent practical experience

Tools

NVIDIA NeMo

Riva

RAPIDS

Triton

Isaac Sim / Omniverse

AWS Bedrock

GCP Vertex AI

Ray

Kubernetes

Docker

FastAPI

TensorRT

MLflow/W&B

Job description

Centific is a frontier AI data foundry building Vision AI, agentic systems, and Physical AI solutions. We seek an AI Engineer who bridges research and production across vision, language, video, and simulation workflows. You will collaborate with research, data science, and platform engineering to deliver scalable, customer-ready AI systems.

This role emphasizes hands-on experience with modern AI/ML systems, multimodal architectures, and deployment in practical robotics and autonomous contexts.