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webAI

webAI

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3 Jobs

118 Employees

About the Company

webAI is designed to streamline the training, deployment, and execution of AI models by offering a unified execution layer for AI that seamlessly integrates cloud-based services and local devices. Our goal is to revolutionize the AI industry by laying the foundation for the development of Super Intelligence (SI).

By approaching AI execution in a heterogeneous manner, we aim to create scalable AI products that are industry leading. Our platform is dedicated to enhancing the performance and accessibility of AI technologies, making them more efficient and user-friendly for both businesses and individuals.

Listed Jobs

Company background Company brand
Company Name
webAI
Job Title
Machine Learning Engineer
Job Description
Job title Machine Learning Engineer Role Summary Design, develop, and deploy transformer‑based NLP models (text classification, summarization, language generation) that operate efficiently on limited datasets, ensuring scalability, performance, and code quality within a fast‑moving AI platform. Expactations * Deliver production‑ready LLM solutions that meet defined performance benchmarks. * Continuously evaluate and iterate on model architecture and training strategies. * Maintain high code quality through automated testing, documentation, and peer reviews. * Translate cutting‑edge research into reliable production components. * Communicate technical findings clearly to cross‑functional teams and stakeholders. Key Responsibilities * Build and fine‑tune transformer models (BERT, GPT, etc.) for specified NLP tasks. * Preprocess and augment datasets, including tokenization, feature extraction, and data verification. * Optimize models for speed, memory, and inference cost while preserving accuracy. * Integrate models into webAI’s core platform using Python and libraries such as Hugging Face Transformers, TensorFlow, or PyTorch. * Participate in code reviews, design discussions, and collaborative development cycles. * Monitor model performance in production, troubleshoot issues, and propose improvements. * Stay current with NLP and LLM research; recommend and test innovations for practical application. Required Skills * Minimum 2 years of professional ML work focused on NLP and LLMs. * Deep understanding of transformer architectures and end‑to‑end NLP pipelines. * Strong Python programming skills; experience with Hugging Face, TensorFlow, and/or PyTorch. * Proficiency in data preprocessing, tokenization, and feature engineering. * Familiarity with model optimization techniques (quantization, pruning, distillation). * Ability to write clean, well‑documented, maintainable code. * Excellent written and verbal communication skills. * Self‑motivation for continuous learning and problem solving. Required Education & Certifications * Bachelor’s degree in Computer Science, Machine Learning, or related field (Master’s preferred).
Austin, United states
On site
Junior
31-10-2025
Company background Company brand
Company Name
webAI
Job Title
DevSecOps Engineer
Job Description
**Job Title:** DevSecOps Engineer **Role Summary:** Designs, builds, and secures scalable AI infrastructure for federal and regulated environments. Integrates DevOps practices with NIST, FedRAMP, and DISA STIG compliance, automates infrastructure, and supports MLOps pipelines for secure model deployment. **Expectations:** - Deliver fully compliant, auditable AI workloads on cloud and edge platforms. - Maintain continuous security posture through automated monitoring, logging, and CI/CD pipelines. - Collaborate cross‑functionally with security, legal, and public‑sector stakeholders to meet federal standards. **Key Responsibilities:** - Design, implement, and maintain secure cloud/edge infrastructure for government AI workloads. - Manage containerization (Docker) and orchestration (Kubernetes) with performance, isolation, and compliance focus. - Develop IaC using Terraform, Ansible, or Pulumi for secure, repeatable provisioning. - Build and secure CI/CD pipelines (GitHub Actions, GitLab CI, Jenkins) with encryption and vulnerability scanning. - Ensure compliance with NIST SP 800‑53, FedRAMP, and DISA STIGs; produce audit‑ready evidence. - Package and deliver containers, binaries, and configurations for restricted or air‑gapped environments. - Configure monitoring, logging, and observability (Prometheus, Grafana, ELK, CloudWatch). - Support MLOps workflows: model packaging, deployment, versioning, and governance. - Document best practices and share knowledge on infrastructure and compliance. **Required Skills:** - 5+ years in DevOps, Site Reliability, or Infrastructure Engineering. - Proficiency in Docker, Kubernetes, and cloud‑native deployment. - Expertise in IaC with Terraform, Ansible, or Pulumi. - Strong knowledge of NIST SP 800‑53, FedRAMP, and DISA STIG compliance. - Experience with MLOps tools and model deployment pipelines. - Programming/scripting in Python, Bash, or Go. - CI/CD pipeline security integration (GitHub Actions, GitLab CI, Jenkins). - Familiarity with observability platforms (Prometheus, Grafana, ELK, CloudWatch). - Understanding of Zero Trust architecture and secure identity management. **Required Education & Certifications:** - Bachelor’s degree in Computer Science, Information Systems, or related field, or equivalent professional experience. - Active U.S. security clearance or eligibility to obtain one. - (Preferred) Professional certifications such as AWS Certified DevOps Engineer, Certified Kubernetes Administrator, or Cloud Security Professional.
Austin, United states
Hybrid
Mid level
26-12-2025
Company background Company brand
Company Name
webAI
Job Title
Full Stack Engineer
Job Description
Job title: Full Stack Engineer Role Summary: Design, build, and maintain high‑performance web and desktop applications that form the core of the platform. Own end‑to‑end development lifecycle from front‑end UI to real‑time communication and infrastructure automation, ensuring scalable, reliable, and maintainable code across all layers. Expectations: • 3+ years of professional JavaScript/TypeScript development. • Proven experience with React, Vite, Electron and modern UI patterns. • Strong knowledge of real‑time protocols (WebSockets, MQTT) and state management (Redux, Zustand, XState). • Familiarity with backend technologies (Go/Python, PostgreSQL, MongoDB) to collaborate across teams. • Expertise in test automation (Cypress) and CI/CD pipelines (GitLab). • Ability to lead technical initiatives, conduct code reviews, and mentor peers. • Excellent problem‑solving, communication, and collaboration skills. Key Responsibilities: 1. Develop scalable web and desktop applications using React, Vite, and Electron. 2. Architect and optimize real‑time communication via WebSockets and MQTT. 3. Build, maintain, and improve CI/CD pipelines with GitLab and automated testing. 4. Write clean, maintainable code in HTML, CSS/SCSS, and TypeScript. 5. Deliver unit and E2E test coverage with Cypress. 6. Conduct code reviews and enforce engineering best practices. 7. Diagnose and resolve production and development issues. 8. Propose and implement architectural, workflow, and tooling enhancements. 9. Design complex state management systems with Redux, Zustand, or XState. 10. Implement efficient data‑handling algorithms for caching, syncing, and real‑time updates. 11. Provide technical mentorship and influence long‑term technical strategy. Required Skills: • JavaScript / TypeScript • React, Vite, Electron • HTML / CSS / SCSS • WebSockets, MQTT (real‑time systems) • Cypress, automated testing frameworks • GitLab CI/CD, DevOps tooling • PostgreSQL, MongoDB • Go or Python (basic familiarity preferred) • State management (Redux, Zustand, XState) • Performance optimization, caching, data sync • Problem‑solving, collaborative communication, leadership Required Education & Certifications: • Bachelor’s degree in Computer Science, Software Engineering, or related field (or equivalent professional experience). • Relevant certifications in cloud platforms, DevOps, or front‑end technologies are considered a plus.
Austin, United states
Hybrid
Junior
22-01-2026