Jobs at webAI

Deploy and maintain AI systems at enterprise customers: own deployment runbooks, build deployment tooling, debug data pipelines and model inference, translate customer needs into production solutions, and act as a technical advisor during deployment and early production.

Develop shared Kotlin Multiplatform modules and Compose Multiplatform and SwiftUI UIs. Integrate on-device and remote AI frameworks, profile and optimize app performance, troubleshoot complex bugs, perform code reviews, mentor teammates, and improve code quality and project conventions.

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.

Lead development and optimization of LLMs and Mixture-of-Experts models, drive research for performance and efficiency (quantization, on-device inference, RAG, agents), integrate models into product, mentor engineers, and deliver cross-functional initiatives.

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.

Lead product design across the full lifecycle, setting design standards and patterns. Partner with engineering, product, and research to prototype, validate, and ship polished, production-ready experiences that simplify complex AI concepts. Mentor peers, provide design critique, and influence product direction while incorporating emerging AI technologies and tools.

Write and own in-product copy and naming across the app, shape features with designers and product from concept, develop voice and tone guidance (including AI-generated content), ship copy into prototypes and the real product, and create terminology and messaging standards.

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.

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

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.

The Capture Manager will oversee and refine the capture strategy, focusing on aligning customer needs with product capabilities, while building repeatable systems to improve win rates in defense tech opportunities.

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

Provide high-level administrative and operational support to three C-level executives, managing calendars, travel, meetings, documentation, and cross-functional coordination. Track projects, contracts, expenses, onboarding, and event logistics while maintaining confidentiality and supporting finance, legal, and operations.