Jobs at webAI

Own the developer platform end to end, including SDKs, APIs, developer experience, self-serve onboarding, templates, documentation, and community support. Translate developer and customer needs into platform strategy and roadmap, drive high-stakes initiatives, guide API and SDK design with engineering, arbitrate cross-functional requirements, and establish scalable product patterns for internal and external developers.

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

Develop and maintain shared Kotlin Multiplatform modules and platform UIs (Compose Multiplatform and SwiftUI). Integrate on-device and remote AI, profile and harden performance, troubleshoot complex bugs, conduct code reviews, mentor teammates, and improve engineering conventions and code quality.

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.

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.

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

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.

Design and implement secure, resilient synchronization and networking systems for distributed AI across edge, cloud, isolated, and air-gapped environments. Build frameworks using content-addressable storage, Merkle trees, CRDTs, and erasure coding. Optimize distributed software under resource constraints and intermittent connectivity, apply threat modeling and cryptography, collaborate with infrastructure and security teams, and maintain rigorous testing, observability, and validation practices.

Design and implement core platform capabilities, backend and systems software, stable APIs/SDKs, CI/CD and release automation, documentation, and developer tooling. Own features end-to-end, diagnose performance and integration issues, and collaborate with product and engineering teams to deliver reusable, secure, and production-ready platform components.

Lead design and implementation of scalable web and desktop applications using React, TypeScript, and Tauri. Build real-time communication, CI/CD pipelines, tests, complex state management, and mentor engineers while driving architecture and performance improvements.

Design, prototype, and deploy AI models on embedded hardware for secure/disconnected government edge environments. Develop low-latency multi-node communications, quantize and compile real-time multi-agent pipelines, implement asynchronous multimodal data fusion and tracking, build HIL simulation environments, and lead system assembly, calibration, and ruggedized field testing.

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.

Design, prototype, and deploy edge AI models onto embedded hardware for secure, disconnected government environments. Build low-latency multi-node communication, quantize and compile multi-agent pipelines, develop asynchronous multimodal fusion and signal-processing algorithms, maintain HIL simulations, and lead ruggedized field assembly, calibration, and testing.