Job Details

About Us: We are establishing the first distributed AI infrastructure dedicated to personalized AI. The evolving needs of a data-driven society are demanding scalability and flexibility. We believe that the future of AI 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 bring large models directly to consumer hardware without removing information from the model.

About the Role: As a Staff Software Engineer on the Runtime team, you will be a technical leader responsible for architecting, designing, and driving the evolution of the core systems that power our services. You'll define the technical strategy for high-performance runtime components, ensuring they are scalable, reliable, and efficient under heavy workloads. You will lead cross-functional initiatives, mentor engineers across the organization, and make critical architectural decisions that shape the future of our runtime platform while ensuring seamless experiences for end users.

Key Responsibilities:

• Architect and lead the design of complex distributed systems for both local air-gapped environments and large-scale customer deployments
• Drive the technical roadmap and strategy for runtime systems, making high-level architectural decisions that impact the entire platform
• Lead cross-team initiatives for new features through robust backwards compatible updates that impact all of webAI's customers and products
• Establish and evolve engineering best practices, architecture patterns, and development processes across the organization
• Mentor engineers at all levels, providing technical guidance and fostering a culture of technical excellence
• Collaborate with leadership on technical strategy and represent the engineering perspective in product and business decisions
• Own critical technical decisions that directly influence the company's ability to scale AI-powered products and services across diverse customer environments

Qualifications:

• Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent work experience
• 8+ years of experience in product-driven backend engineering, with significant experience in distributed systems, platform engineering, or embedded systems
• Expert-level proficiency in Go and experience architecting large-scale Go applications
• Deep experience with messaging systems (MQTT, Kafka, Nats) and ability to make informed decisions about system trade-offs
• Extensive experience with deployment pipelines, CI/CD processes, and the ability to design and implement custom deployment strategies for complex distributed architectures
• Proven track record of leading technical initiatives across multiple teams and mentoring senior engineers
• Experience with system performance optimization, scalability challenges, and edge computing environments

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.
• 401k Match
• $200/mos Health and Wellness Stipend
• $400/year Continuing Education Credit
• Free parking, for in-office employees
• Unlimited Approved 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.