Senior Software Engineer - Runtime

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: 

As a Senior Software Engineer on the Runtime team, you will be at the forefront of designing, building, and optimizing the core systems that power our services. You’ll drive the technical strategy for high-performance runtime components, ensuring they are scalable, reliable, and efficient under heavy workloads. By collaborating closely with cross-functional partners, leading critical initiatives, and mentoring fellow engineers, you will shape the evolution of our runtime platform and help deliver a seamless experience for end users. 

Key Responsibilities: 

• Design and implement systems for both local air-gapped systems as well as customer distributed deployments. 
• Driving new features through robust backwards compatible updates that impact all of webAI’s customers and products,. 
• Participate in our budding knowledge, architecture, processes and systems, contributing your experience and intuition to raise the bar for the engineering org while making technical choices accessible to product owners. 
• All of this work will directly influence the company’s ability to deliver AI-powered products and services. You will have ownership in a critical area that shapes the future of the company. 

Qualifications: 

• Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent work experience. 
• 5+ years of experience in product driven backend engineering, though we’re open to talking to candidates who have spent extensive time in embedded systems, platform teams, etc. 
• Strong proficiency in Go.
• Experience with at least one messaging system such as MQTT, Kafka, Nats 
• Experience with deployment pipelines, including CI/CD processes, and the ability to adapt to and manage a custom deployment strategy tailored to our unique system architecture and runtime requirements. 

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.