Jobs at webAI

Maintain and run daily office operations at the Austin headquarters: manage supplies and equipment, support onboarding and workspace setup, greet visitors, prepare meeting spaces, coordinate vendors and repairs, assist scheduling, and support company events and hospitality needs.

Own enterprise accounts end-to-end: build relationships, manage pipeline and P&L, lead discovery through deployment, navigate procurement/security/legal, design solutions and SOWs, and ensure delivery and renewal while coordinating product and engineering.

The AI Research Scientist will develop novel algorithms, lead experimental design, and mentor engineers while focusing on privacy-preserving AI solutions.

The AI Software Engineer will deploy models, build data pipelines, optimize performance for AI models, and develop testing suites in collaboration with AI scientists.

Lead messaging, positioning, and go-to-market for commercial and public sector audiences. Translate technical AI capabilities into clear narratives, build demos and sales enablement assets, drive product launches, and partner across product, engineering, sales, and BD to accelerate pipeline and influence roadmap.

The Senior Machine Learning Engineer will design and deploy AI systems, optimize production models, and ensure efficient performance in resource-constrained environments.

The Director of Applied AI leads the development and deployment of AI solutions for clients, manages cross-functional teams, and drives innovation in distributed AI infrastructure.

The AI Research Director will lead research initiatives in AI and ML, oversee research teams, design novel model architectures, and collaborate with engineering to implement scalable capabilities.

The Senior Forward Deployed AI Engineer will create, deploy, and maintain AI systems, optimize workflows, and communicate with customers to address needs within production environments.

The role involves integrating AI solutions into enterprise environments, optimizing AI systems, and advising clients. It requires strong communication and technical skills, with a focus on deployment and troubleshooting.

Design and build connections between real-world data systems and AI platform, creating scalable data connectors and transforming data for AI inference.

The Data Platform Engineer will design and build scalable data connectors, transform raw data into AI-ready formats, and collaborate with teams to optimize data pipelines and ingestion patterns.

Lead the development of AI systems integrating computer vision and language understanding, focusing on reinforcement learning and multimodal AI architectures.

The Staff Machine Learning Engineer will lead the development of advanced AI models, collaborate with teams, conduct research, and mentor junior engineers.

As an R&D Software Engineer, you'll rapidly prototype AI technologies, translating theoretical research into practical implementations while collaborating with cross-functional teams.

The AI Research Scientist will design, train, and optimize state-of-the-art machine learning models, conduct research on model efficiency, and collaborate with engineering teams to ensure real-world impact.