AI Software Engineer

About the role

About Us:

webAI is pioneering the future of artificial intelligence by establishing the first distributed AI infrastructure dedicated to personalized AI. We recognize the evolving demands of a data driven society for scalability and flexibility, and we firmly believe that the future of AI lies in distributed processing at the edge, bringing computation closer to the source of data generation.

Our mission is to build a future where a company's valuable data and intellectual property remain entirely private, enabling the deployment of large-scale AI models directly on standard consumer hardware without compromising the information embedded within those models. We are developing an end-to-end platform that is secure, scalable, and fully under the control of our users, empowering enterprises with AI that understands their unique business. We are a team driven by truth, ownership, tenacity, and humility, and we seek individuals who resonate with these core values and are passionate about shaping the next generation of AI.

About the Role:

The webAI Intelligence Lab (WIL) is looking for an AI Software Engineer with deep expertise in high-performance computing and machine learning inference. The AI Engineer is the "builder" who makes the science real. They take raw models and turn them into scalable, efficient, and reliable software. They are the masters of the production environment focusing on latency, reliability, and data integrity.

This is an ideal opportunity for someone who thrives at the intersection of low-level systems programming, applied machine learning, and hardware-aware optimization.

Key Responsibilities

- Optimization: Implement techniques like pruning, quantization, and distillation to ensure models run efficiently on edge devices or in high-traffic cloud environments.

- Model Deployment: Wrap models in high-performance APIs and integrate them into the broader software ecosystem.

- Inference Engines: Build and maintain ML frameworks that enable the AI Scientist’s experiments at scale.

- Collaboration: Work closely with the AI Scientist to refactor "research code" into production-grade, maintainable code.

Requirements & Skills

- Experience: 5+ years in Software Engineering or equivalent university time with a deep experience that matches WIL objectives to include with a focus on ML-specific systems and distributed computing.

- Technical Depth: Proficiency in C++/Python, Docker/Kubernetes, Vector Databases (Pinecone, Weaviate), and CI/CD for ML.

- Education: Bachelor’s or Master’s in Computer Science or Software Engineering.

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.