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About Centific Centific is a frontier AI data foundry that curates diverse, high-quality data, using our purpose-built technology platforms to empower the Magnificent Seven and our enterprise clients with safe, scalable …
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Redmond, Washington, United States · On-site
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Amazon Leo is Amazon's low Earth orbit satellite network. Our mission is to deliver fast, reliable internet connectivity to customers beyond the reach of existing networks. From individual households to schools, hospital…
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Redmond, Washington, United States · On-site
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Amazon Leo is Amazon's low Earth orbit satellite network. Our mission is to deliver fast, reliable internet connectivity to customers beyond the reach of existing networks. From individual households to schools, hospital…
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Redmond, Washington, United States · On-site
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Work Flexibility: Onsite What You Get Out of the Internship At Stryker, we believe that developing the next generation of talent is just as important as developing life-changing medical technologies. As an intern, you …
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Redmond, Washington, United States · On-site
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Amazon Leo is Amazon’s low Earth orbit satellite broadband network. Its mission is to deliver fast, reliable internet to customers and communities around the world, and we’ve designed the system with the capacity, flexib…
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Arlington, Virginia, United States · On-site
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Amazon Leo is Amazon's low Earth orbit satellite broadband network. Its mission is to deliver fast, reliable internet to customers and communities around the world, and we've designed the system with the capacity, flexib…
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Redmond, Washington, United States · On-site
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Amazon Leo is Amazon's low Earth orbit satellite network. Our mission is to deliver fast, reliable internet connectivity to customers beyond the reach of existing networks. From individual households to schools, hospital…
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Redmond, Washington, United States · On-site
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Amazon Leo is an initiative to launch a constellation of Low Earth Orbit satellites that will provide low-latency, high-speed broadband connectivity to unserved and underserved communities around the world. As a Hardware…
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Kirkland, Washington, United States · On-site
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Amazon Leo is Amazon’s low Earth orbit satellite network. Our mission is to deliver fast, reliable internet connectivity to customers beyond the reach of existing networks. From individual households to schools, hospital…
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Redmond, Washington, United States · On-site
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Amazon Leo is an initiative to launch a constellation of Low Earth Orbit satellites that will provide low-latency, high-speed broadband network connectivity to unserved and underserved communities around the world. As a …
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Redmond, Washington, United States · On-site
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Skills: Software Development, Java, Python, AWS, Cloud Native
Redmond, Washington, United States · On-site
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JLL empowers you to shape a brighter way. Our people at JLL are shaping the future of real estate for a better world by combining world class services, advisory and technology for our clients. We are committed to hiring …
Skills: Facility management, Building operations, Property management, Mechanical, electrical, and plumbing (MEP) systems, Building automation systems
Mountain View, California, United States · Hybrid
$120k–$261k/yr
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Redmond, Washington, United States · Hybrid
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Skills: Software Architecture, Cloud Security, Distributed Systems, Azure, C#
Redmond, Washington, United States · On-site
$241k–$283k/yr
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Skills: Logistics automation, Material handling, Mechanical design, Electrical design, Robotics
Redmond, Washington, United States · Hybrid
$143k–$304k/yr
Overview Microsoft 365 is the world’s leading productivity service, trusted by hundreds of millions of users worldwide. Microsoft 365 Core Platform is at the center of it all. We are building foundational intelligent pro…
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Mountain View, California, United States · Hybrid
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Mountain View, California, United States · Hybrid
$120k–$261k/yr
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Skills: C, C++, Java, Python, Distributed systems
Redmond, Washington, United States · On-site
$40/hr–$48/hr
About Blueprint Blueprint is a technology solutions firm headquartered in Bellevue, Washington, with teams across the United States. We help organizations turn complex challenges into meaningful outcomes by connecting st…
Skills: Software testing, Quality assurance, Manual testing, Exploratory testing, Regression testing
Redmond, Washington, United States · On-site
$90/hr–$100/hr
About Blueprint Blueprint is a technology solutions firm headquartered in Bellevue, Washington, with teams across the United States. We help organizations turn complex challenges into meaningful outcomes by connecting st…
Skills: Machine learning, Robotics, Embodied AI, PyTorch, TensorFlow
Sign up with Clera and we'll reach out the moment a role actually fits you — no more spraying applications into the void.
Design, build, and deploy AI/ML systems across Vision AI, multimodal, agentic, and Physical AI use cases. Collaborate with research and engineering teams to productionize models and optimize performance for real-world applications.
Requires a Master's degree in Computer Science or Machine Learning and at least 5 years of experience in building large-scale AI/ML systems. Candidates must possess strong programming skills in Python and hands-on experience with modern ML frameworks and multimodal architectures.
About Centific
Centific is a frontier AI data foundry that curates diverse, high-quality data, using our purpose-built technology platforms to empower the Magnificent Seven and our enterprise clients with safe, scalable AI deployment. Our team includes more than 150 PhDs and data scientists, along with more than 4,000 AI practitioners and engineers. We harness the power of an integrated solution ecosystem—comprising industry-leading partnerships and 1.8 million vertical domain experts in more than 230 markets—to create contextual, multilingual, pre-trained datasets; fine-tuned, industry-specific LLMs; and RAG pipelines supported by vector databases. Our zero-distance innovation™ solutions for GenAI can reduce GenAI costs by up to 80% and bring solutions to market 50% faster.
Our mission is to bridge the gap between AI creators and industry leaders by bringing best practices in GenAI to unicorn innovators and enterprise customers. We aim to help these organizations unlock significant business value by deploying GenAI at scale, helping to ensure they stay at the forefront of technological advancement and maintain a competitive edge in their respective markets.
About Job
AI Engineer – Vision AI, Agentic Systems & Physical AI
Location: Seattle / Palo Alto / Remote
Job Description
Centific’s Physical AI team is building next-generation AI systems at the intersection of Vision AI, multimodal foundation models, agentic AI, simulation, and real-world robotics. We work on practical and frontier problems spanning video understanding, autonomous systems, embodied intelligence, data pipelines, evaluation, and deployment.
We are looking for an AI Engineer who can bridge research and production: someone who can build, fine-tune, evaluate, and deploy AI systems across vision, language, video, simulation, and agentic workflows. You will work closely with research, data science, and platform engineering teams to turn advanced AI ideas into scalable, customer-ready systems.
This role is ideal for an engineer with strong hands-on experience in modern AI/ML systems, a solid grasp of multimodal and agentic architectures, and an interest in Physical AI challenges such as perception, dexterity, navigation, simulation, and autonomous decision-making.
Key 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.
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 modern ML frameworks such as PyTorch, TensorFlow, or JAX.
Hands-on experience with Vision AI, including one or more of: 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 ideally 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.
Preferred Qualifications
Experience with robotics, autonomous driving, simulation, digital twins, or embodied AI systems.
Familiarity with Ray, Kubernetes, Docker, FastAPI, TensorRT, MLflow/W&B, or related MLOps and distributed AI tooling.
Exposure to sensor fusion, audio/video analytics, multimodal data pipelines, or robotics data formats.
Experience with model governance, observability, safety evaluation, or production model monitoring.
Comfort working across both applied engineering and research-driven prototyping.
Why Join Us
Work on frontier problems in Vision AI, agentic AI, and Physical AI.
Build systems that connect research-grade models to real deployments.
Collaborate with a strong cross-functional team spanning engineering, data science, simulation, and robotics.
Help shape the next generation of AI systems for real-world action.
Unlock the Value of AI and Unleash the Possibilities
Zero distance innovation for GenAI creators and industries Expertly engineering platforms and curating multimodal, multilingual data, we empower the ‘Magnificent Seven’ and enterprise clients with safe, scalable AI deployment We a team of over 150 PhDs and data scientists, along with more than 4,000 AI practitioners and engineers. We bring platforms, partners and 1.8 million vertical domain experts to create high-quality pre-trained datasets, fine-tuned industry-specific LLMs, and RAG pipelines supported by vector databases. These innovations can reduce GenAI costs by up to 80% and bring GenAI solutions to market 50% faster in 230 locales.
Offices: 14980 NE 31st Way, Redmond, Washington 98052, US
Based on 1445 listings with disclosed salaries, most engineering jobs in Redmond, WA pay between $102k–$261k per year. Individual offers vary with seniority, company size, and specialization.
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