webAI
Technology
ForwardDeployedAIEngineer
Neural analysis suggests this role is
optimal for Senior candidates.
“Forward Deployed AI Engineer at webAI. Skills: AI solutions, Edge AI, Production deployment. Collaborate with customers. Scope AI solutions”
Industry & Context.
Troubleshooting; Performance tuning
25% travel, On-site customer work
What They're Looking For.
Must Have
5+ years software engineering, 5+ years machine learning, Deploy AI systems production, Maintain AI systems production, Debug complex systems, MLX or PyTorch expertise, Customer requirements translation, Work across the stack, Read hardware schematics/logs, Identify performance bottlenecks, Suggest performance improvements, Trusted technical advisor, Represent engineering externally, Contribute feedback to teams, Improve product robustness, Improve product usability
Nice to Have
Deploy models edge devices, Deploy models consumer hardware, Distributed systems familiarity, DevOps tooling familiarity, Performance tuning familiarity, Customer-facing engineering role, Privacy-preserving AI knowledge, Secure compute environments knowledge, Master's degree technical discipline
What You'll Do.
Collaborate with customers
Maintain AI solutions
Optimize data pipelines
Translate customer requirements
Work from model inference
Work to infrastructure automation
Read hardware schematics
Identify performance bottlenecks
Suggest performance improvements
Serve as technical advisor
Contribute feedback internally
How You'll Work.
Team & Collaboration
Internal teams
Communication Scope
Challenge vague requirements; Actionable plans
Full Job Description
About Us: webAI is pioneering the future of artificial intelligence by establishing the first distributed AI infrastructure dedicated to personalized AI. We recognize the evolving demands of a data-driven society for scalability and flexibility, and we firmly believe that the future of AI lies in distributed processing at the edge, bringing computation closer to the source of data generation. Our mission is to build a future where a company's valuable data and intellectual property remain entirely private, enabling the deployment of large-scale AI models directly on standard consumer hardware without compromising the information embedded within those models. We are developing an end-to-end platform that is secure, scalable, and fully under the control of our users, empowering enterprises with AI that understands their unique business. We are a team driven by truth, ownership, tenacity, and humility, and we seek individuals who resonate with these core values and are passionate about shaping the next generation of AI. About the Role: As a Forward Deployed AI Engineer at webAI, you will be on the front lines of integrating cutting-edge AI solutions into real-world enterprise environments. You will work directly with customers to understand their needs, deploy AI systems into their infrastructure, and ensure high performance and reliability at scale. You’ll help bridge the gap between research, engineering, and operations—playing a pivotal role in building the future of edge AI. This role will require a minimum of 25% travel, including occasional on-site work at customer locations to support deployment, troubleshooting, and integration of our platform within enterprise environments. Key Responsibilities: - Collaborate closely with customers to scope, deploy, and maintain AI solutions in production environments. - Debug and optimize data pipelines and AI systems running on customer networks. - Translate complex, often ambiguous customer requirements into well-scoped tec
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