webAI™

Role Description We are seeking an experienced Staff Machine Learning Engineer with a strong background in Large Language Models (LLMs) and/or Mixture of Experts (MoEs). The ideal candidate will have a proven track record of developing and deploying advanced AI models. You will lead core product initiatives across on-device inference optimization, quantization, RAG, agentic framework and/or tool calling. You will also be responsible for end-to-end delivery working cross-functionally with other engineering functions and lead the sub-team. Responsibilities - Lead the development and optimization of Large Language Models and Mixture of Experts models. - Collaborate with cross-functional teams to integrate ML models into our platform. - Conduct cutting-edge research in machine learning, with a focus on improving the performance and efficiency of LLMs. - Stay abreast of the latest advancements in AI and ML, and apply this knowledge to improve our models and methodologies. - Mentor junior engineers and contribute to the team’s knowledge sharing and best practices. Qualifications - Advanced degree (Ph.D. preferred) in Computer Science, or a related field. - Proven track record of building and innovations through publications or industry experience. - Minimum of 6 years of experience in machine learning, with specific expertise in Large Language Models and Mixture of Experts. - Strong programming skills in Python and machine learning frameworks like TensorFlow and/or PyTorch. - Demonstrated ability to lead complex projects and work collaboratively in a team environment. - Excellent problem-solving skills and a passion for innovation. Preferred Skills - Experience with cloud computing services (AWS, Azure, GCP). - Knowledge of Big Data technologies (Hadoop, Spark). - Familiarity with containerization and orchestration technologies (Docker, Kubernetes). - Publications or presentations in recognized Machine Learning journals or conferences. Benefits - Competitive salary - Comprehensive health, dental, and vision benefits package - 401(k) match - Equity options - $200/month Health & Wellness stipend - Continuing Education support - $500/year Function Health subscription - Free parking for in-office employees - Flexible Time Off (FTO) - Parental leave for eligible employees - Supplemental life insurance

• Write end-to-end flows and in-product copy across the app: interface text, states, onboarding, system messaging, empty states, error and edge-case language • Design features alongside designers and product, from concept, not at the end. Copy and layout get shaped together • Own naming, terminology, and messaging. What things are called inside the product is a design decision, and it's yours • Develop voice and tonal guidance for features and for generated content. Our product uses AI to produce language, and that language needs a voice and guardrails the same as anything we write • Ship copy into the build. You work close to the prototype and the real product, not into a doc someone else implements

• Lead design direction across major product initiatives, from early problem framing through shipping • Serve as a design lead across the full product development cycle, owning product surfaces end to end • Partner with and influence engineering, product, and research beyond your immediate scope • Establish and evolve the design patterns and principles that elevate the team's product work • Bring your designs to life: prototype, validate with users, and ship production-ready work with the support of AI-assisted tools • Lead through critique, giving feedback that sharpens thinking, not just execution, and creating space for others to do their best work • Navigate and resolve complex, ambiguous problems that cross functional boundaries • Bring emerging technology (AI, ML, conversational interfaces) into the work in ways that are genuinely useful, not just novel

• Partner with designers and engineers to build microsites for product releases. • Maintain webAI's marketing website, keeping it fresh, performant, and aligned with our evolving brand and product vision. • Champion user experience and accessibility across the front-end stack, maintaining a high quality bar.

Role Description We are looking for a pragmatic, hands-on Technical Project Manager to take the helm on in-flight projects and drive the delivery of new AI-focused engagements. You aren’t just a delivery lead; you are a founding member of our delivery organization. As we scale, you will play a pivotal role in defining the "how" of our execution, building the playbooks, and establishing the standards that will guide our team as we grow. You will have a keen focus on Execution, Risk Mitigation, and Organizational Maturity. Key Responsibilities - Tactical Execution: Manage the end-to-end delivery of multiple concurrent projects, from kickoff to post-launch. - Delivery Maturity: Actively contribute to the definition and growth of our internal delivery organization. You will audit our current "chaos," propose scalable process improvements, and standardize how we report progress and handle risk. - Agile Mastery: Facilitate Scrum rituals and evolve them to fit the specific needs of our startup environment. You will be a mentor to the team on what "good" Agile looks like for us. - Cross-functional Collaboration: Bridge the gap between engineering and client goals, ensuring our process supports, rather than hinders, technical velocity. - Travel: Required as necessary, 20% expected. Qualifications - 5-8+ years of technical delivery/project management experience in AI or SaaS. - Organizational Mindset: A proven history of not just working within a system, but creating one. You have experience building or refining delivery processes in a scaling startup. - Deep technical literacy and ability to coach others on delivery best practices. - Strong communication skills—able to navigate technical and non-technical discussions. - Highly adaptable and comfortable working with evolving processes and priorities. - Ability to work with imperfect systems and incrementally improve them over time rather than striving for immediate perfection. Benefits - Competitive salary - Comprehensive health, dental, and vision benefits package - 401(k) match (U.S.-based employees only) - $200/month Health & Wellness stipend - Continuing Education support - $500/year Function Health subscription (U.S.-based employees only) - Free parking for in-office employees - Flexible Time Off (FTO) - Parental leave for eligible employees - Supplemental life insurance

Title: Senior Quality Assurance Automation Engineer Location: Austin United States Employment Type Full time Department EngineeringQuality Assurance Job Description: About the Role: As a Senior QA Automation Engineer at webAI, you will lead the design, implementation, and optimization of our automated testing infrastructure. You'll take a proactive role in improving product quality, setting testing standards, and mentoring others on automation best practices. You'll work cross-functionally with engineering, DevOps, and product teams to ensure high confidence in every release of our distributed AI platform. This is a highly technical, hands-on role suited for someone who thrives in fast-paced environments, takes ownership of quality initiatives, and enjoys solving complex engineering challenges with a test-first mindset. Key Responsibilities: - AI-Enhanced Automation: Build, maintain, and optimize end-to-end test suites using AI tools to reduce flakiness and accelerate development. - Generative AI & Simulation: Use AI tools (e.g., Cursor, GitHub Copilot) to generate test cases and leverage LLMs to simulate complex user behaviors. - Intelligent Testing & Reporting: Implement AI-driven static analysis, anomaly detection, and automated defect triage within CI/CD pipelines. - Collaborate with product owners, developers, and data engineers to define and implement comprehensive AI-first test strategies and plans that align with business requirements and project goals - Identify, document, and track bugs through resolution using tools like Jira - Develop and maintain QA documentation, including test plans, test cases, and test data - Contribute to overall quality initiatives by identifying inefficiencies and proposing automation-based solutions - Monitor product quality metrics and proactively suggest process improvements - Ensure testing of AI models and edge-deployed systems aligns with privacy and performance expectations - Mentor junior QA engineers, conduct code reviews, and promote a culture of quality, accountability, and best practices across the engineering teams - Collaborate with remote QA team Required Skills & Qualifications: - Experience: 4-6+ years in QA with 2+ years specifically focusing on AI/ML applications in test automation. - AI/Technical Skills: Proficiency with tools like Cursor, Copilot, and Testim, alongside coding skills (Python, JavaScript, or Java). - Frameworks & DevOps: Strong experience with Playwright, Cypress, or Selenium and CI/CD tools (Jenkins, GitHub Actions). - AI Understanding: Ability to validate AI-driven features and interpret model outputs. - Bachelor's degree in Computer Science, Engineering, or related technical field - Expertise in one or more programming/scripting languages (e.g., Python, Go, JavaScript) - Deep experience with automation tools like Selenium, Playwright, or similar frameworks - Strong understanding of CI/CD tooling (e.g., Gitlab runners, Jenkins, GitHub Actions) and version control systems (e.g., Git) - Proficiency in API testing tools and methodologies (e.g., Postman, REST-assured, Swagger) - Experience testing cloud-based or distributed systems - Excellent problem-solving skills and a detail-oriented, analytical approach Preferred Qualifications: - Experience automating tests for distributed systems, edge computing, or AI/ML workflows - Knowledge of Docker, Kubernetes, or other container/orchestration technologies - Experience with performance, load, or security testing - Experience with configuring gitLab runners - Background in startup environments or agile product teams We at webAI are committed to living out the core values we have put in place as the foundation on which we operate as a team. We seek individuals who exemplify the following: - Truth - Emphasizing transparency and honesty in every interaction and decision. - Ownership - Taking full responsibility for one's actions and decisions, demonstrating commitment to the success of our clients. - Tenacity - Persisting in the face of challenges and setbacks, continually striving for excellence and improvement. - Humility - Maintaining a respectful and learning-oriented mindset, acknowledging the strengths and contributions of others. Benefits: - Competitive salary - Comprehensive health, dental, and vision benefits package - 401(k) match (U.S.-based employees only) - $200/month Health & Wellness stipend - Continuing Education support - $500/year Function Health subscription (U.S.-based employees only) - Free parking for in-office employees - Flexible Time Off (FTO) - Parental leave for eligible employees - Supplemental life insurance webAI is an Equal Opportunity Employer and does not discriminate against any employee or applicant on the basis of age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We adhere to these principles in all aspects of employment, including recruitment, hiring, training, compensation, promotion, benefits, social and recreational programs, and discipline. In addition, it is the policy of webAI to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations and ordinances where a particular employee works.

Special Notice: This position is NOT contingent upon awarding of a project or needing a funding source. This is full-time employment with webAI. About the Role: We are seeking a Senior Forward Deployed AI Engineer to support our Public Sector initiatives focused on building and optimizing production ready AI systems for secure and distributed environments. This role sits at the intersection of machine learning, systems engineering, and deployment optimization, bridging research and real world implementation. You will be responsible for transforming prototype models into scalable, efficient, and reliable production systems that operate seamlessly across a spectrum of hardware from government cloud infrastructure to edge devices in restricted or disconnected environments. The ideal candidate will be based in Austin, Texas or in the Washington, D.C./Northern Virginia area. On a case-by-case basis, candidates who are fully remote. Qualified candidates who are not based in Austin, Texas may be asked to travel to our Austin, Texas headquarters. This role will require up to 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. - Design, develop, and deploy agentic workflows to orchestrate multi-step reasoning, tool use, and decision-making across production systems. - Debug and optimize data pipelines and AI systems running on customer networks. - Translate complex, often ambiguous customer requirements into well-scoped technical solutions. - Work across the stack—from model inference on consumer hardware to infrastructure automation. - Read hardware schematics/logs to identify performance bottlenecks and suggest improvements. - Serve as a trusted technical advisor to enterprise clients, representing the engineering team externally. - Contribute feedback and insight to internal teams to continuously improve product robustness and usability. Required Skills & Qualifications: - 5+ years of combined experience in software engineering and machine learning. - Active US Security clearance - Proven track record of deploying and maintaining machine learning/AI systems in production. - Strong expertise in ML frameworks such as PyTorch, TensorFlow, ONNX, JAX, etc. - Experience debugging complex systems involving data pipelines, model inference, and hardware interaction. - Exceptional communication skills; able to challenge vague requirements and turn them into actionable plans. - Comfortable working in dynamic environments with high customer exposure. Preferred Qualifications: - Experience deploying models on edge devices or consumer hardware. - Familiarity with distributed systems, DevOps tooling, and performance tuning. - Prior experience in a customer-facing engineering role. - Proficiency in developing full stack applications - Knowledge of privacy-preserving AI and secure compute environments. - Master’s degree in a relevant technical discipline. We at webAI are committed to living out the core values we have put in place as the foundation on which we operate as a team. We seek individuals who exemplify the following: - Truth - Emphasizing transparency and honesty in every interaction and decision. - Ownership - Taking full responsibility for one’s actions and decisions, demonstrating commitment to the success of our clients. - Tenacity - Persisting in the face of challenges and setbacks, continually striving for excellence and improvement. - Humility - Maintaining a respectful and learning-oriented mindset, acknowledging the strengths and contributions of others. Benefits: - Competitive salary - Comprehensive health, dental, and vision benefits package - 401(k) match (U.S.-based employees only) - $200/month Health & Wellness stipend - Continuing Education support - $500/year Function Health subscription (U.S.-based employees only) - Free parking for in-office employees - Flexible Time Off (FTO) - Parental leave for eligible employees - Supplemental life insurance webAI is an Equal Opportunity Employer and does not discriminate against any employee or applicant on the basis of age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We adhere to these principles in all aspects of employment, including recruitment, hiring, training, compensation, promotion, benefits, social and recreational programs, and discipline. In addition, it is the policy of webAI to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations and ordinances where a particular employee works.

• Lead client workshops to uncover core business objectives. You are expected to challenge assumptions and push clients to clarify their actual needs. • You will define the standards for how we document requirements. We need you to build the templates, knowledge base, and discovery frameworks that will allow our delivery team to scale effectively. • Create a repeatable, high-quality hand-off process so that the promises made in the sales phase are perfectly understood by the engineering team. • Maintain the "source of truth" for requirements, ensuring alignment as projects evolve. • Travel as necessary, 20% expected

• Partner with the General Counsel and outside counsel to structure and negotiate private company financing transactions, including venture capital rounds, private equity investments, and debt facilities. • Assist in preparing the company for strategic growth initiatives, including potential mergers and acquisitions. • Support public company readiness efforts as applicable. • Oversee and manage the company’s capitalization table and equity incentive plans. • Maintain accurate equity records and support equity administration using Carta. • Assist the General Counsel in maintaining corporate governance records and documentation. • Draft board resolutions and support board of directors and shareholder meetings. • Maintain corporate records and ensure compliance with corporate governance requirements.

About Us: We are establishing the first distributed Al infrastructure dedicated to personalized Al. The evolving needs of a data-driven society are demanding scalability and flexibility. We believe that the future of Al is distributed and enables real-time data processing at the edge, closer to where data is generated. We are building a future where a company's data and IP remains private and it's possible to bring large models directly to consumer hardware without removing information from the model. About the Role: We are looking for a Senior Front-End Engineer to drive the development of high-performance web and desktop applications while ensuring scalability, maintainability, and real-time communication efficiency. In this role, you’ll collaborate with cross-functional teams to design and implement solutions that power our core products. Your expertise in React, Vite, Electron, WebSockets, and MQTT will be critical in building real-time, responsive applications, while your knowledge of CI/CD, testing frameworks, and cloud infrastructure will help streamline our deployment processes. If you are passionate about engineering excellence, tackling complex technical challenges, and mentoring engineers, this is the role for you. Responsibilities: Collaborate with product, design, and engineering teams to translate business requirements into high-quality software solutions. Requirements & Skills: 5+ years of professional experience developing in JavaScript or TypeScript Strong proficiency in React, Vite, and Electron for building scalable applications. Expertise in HTML, CSS, SCSS, and TypeScript. Experience with real-time communication protocols (WebSockets, MQTT). Strong proficiency in unit testing and E2E testing frameworks (Cypress). Knowledge of Go and Python is beneficial for backend integration. Experience with PostgreSQL and MongoDB databases. Proficiency in CI/CD pipelines using GitLab and experience with DevOps tools. Excellent problem-solving skills and a strong ability to troubleshoot complex issues. Strong communication skills and a collaborative mindset. Deep expertise in state management patterns and libraries such as Redux, Zustand or XState with experience in optimizing complex UI interactions. Experience designing and implementing scalable algorithms for efficient data fetching, caching, and synchronization. Proven experience in leading technical initiatives, collaborating with stakeholders, and driving best engineering practices across teams. We at webAI are committed to living out the core values we have put in place as the foundation on which we operate as a team. We seek individuals who exemplify the following: Truth - Emphasizing transparency and honesty in every interaction and decision. Ownership - Taking full responsibility for one’s actions and decisions, demonstrating commitment to the success of our clients. Tenacity - Persisting in the face of challenges and setbacks, continually striving for excellence and improvement. Humility - Maintaining a respectful and learning-oriented mindset, acknowledging the strengths and contributions of others. Benefits: Competitive salary and performance-based incentives. Comprehensive health, dental, and vision benefits package. $200/mos Health and Wellness Stipend $400/year Continuing Education Credit Flexible work week Free parking, for in-office employees Unlimited PTO Parental, Bereavement Leave Supplemental Life Insurance webAI is an Equal Opportunity Employer and does not discriminate against any employee or applicant on the basis of age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We adhere to these principles in all aspects of employment, including recruitment, hiring, training, compensation, promotion, benefits, social and recreational programs, and discipline. In addition, it is the policy of webAI to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations and ordinances where a particular employee works.