---
title: 'AI Software Engineer at webAI'
canonical: 'https://feeny.ai/job/ai-software-engineer-webai-austin-abw2q38hdt0q'
type: 'job'
last_seen: '2026-09-09'
---

# AI Software Engineer at webAI

- **Company:** webAI
- **Location:** Austin, TX
- **Employment:** full-time
- **Posted:** 2026-04-22
- **Last confirmed live:** 2026-09-09
- **Apply:** https://jobs.ashbyhq.com/webAI/346b2d54-ec61-406c-9e1e-2c2d1fed84ca/application

**Skills:** C++, Python, Docker, Kubernetes, Vector Databases, Pinecone, Weaviate, CI/CD for ML, Machine Learning Inference, High-Performance Computing

> The AI Software Engineer builds scalable, efficient, and reliable software from raw AI models for edge devices and cloud environments. This role focuses on high-performance computing, machine learning inference, and optimizing latency and data integrity within a distributed AI infrastructure.

## Job description

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.
- 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: We strive to provide competitive benefits to all employees. The benefits listed in this posting generally apply to U.S.-based employees. For employees hired outside the United States, benefits may vary based on local law, country-specific requirements, and the employment platform or entity through which the employee is hired.

- 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

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.

## About webAI

## Company Overview
- **One-liner**: webAI provides an end-to-end platform for building, deploying, and operating custom AI on local infrastructure, ensuring data sovereignty and low latency.
- **Entity Type**: Private (Series A‑II, $60M total raised)
- **Headquarters**: Austin, Texas, United States
- **Founded**: 2019 (source: webai.com) / 2020 (source: CB Insights)
- **Founders**: David Stout (CEO), Ethan Baird (Chief Research Officer), Tyler Mauer (Chief Product Officer)

## Core Business
- Primary industry/industries: Enterprise AI infrastructure, sovereign AI, edge computing
- Target customers: B2B – large enterprises and public‑sector organizations in healthcare, manufacturing, financial services, aviation, retail, and defense
- Mission or purpose statement: “AI should be specialized, sovereign, efficient, and sustainable. It should solve real problems, not just burn more compute.” (source: [webai.com/about](https://www.webai.com/about))

## Products & Services
- **Navigator**: Build, train, and deploy custom AI models on local infrastructure with full transparency and control. (source: [webai.com](https://www.webai.com))
- **Companion**: An on‑device assistant that connects employees to private AI, tailored to industry workflows (e.g., aviation, manufacturing). (source: [webai.com](https://www.webai.com))
- **Runtime**: Orchestrates distributed AI workloads across heterogeneous hardware, scaling from a single device to entire clusters. (source: [webai.com](https://www.webai.com))
- **webFrame**: Delivers optimized inference and training with adaptive quantization (“Entropy‑Weighted Quantization”) achieving near 99.5% accuracy. (source: [webai.com](https://www.webai.com))
- **Network**: Connects every model, dataset, and device through a secure, local fabric for high‑speed collaboration without the cloud. (source: [webai.com](https://www.webai.com))
- **CLI**: Full command‑line control for developers to build, extend, and manage AI environments at scale. (source: [webai.com](https://www.webai.com))

## Competitive Advantages
- **Data sovereignty**: Full ownership of AI models and data; models run on local infrastructure, not in the cloud.
- **Low latency & resilience**: Edge deployments enable real‑time inference without cloud dependency; works offline.
- **Proprietary optimization**: Entropy‑Weighted Quantization compresses models while maintaining ~99.5% accuracy.
- **Full‑stack platform**: Covers development (Navigator), deployment (Runtime/CLI), inference (webFrame), and collaboration (Network).

## Strategic Focus
- Current priorities: Scaling custom, sovereign AI into regulated industries (healthcare, finance, defense); building the “operating system of the future” for edge intelligence; achieving 2030 vision of billions of specialized models embedded in everyday systems. (source: [webai.com/about](https://www.webai.com/about))
- Growth direction: Public sector partnerships (President of Public Sector Dr. Jason Rathje); vertical solutions for aviation, manufacturing, and retail.

## Why Work Here
- **Culture**: Core beliefs include ownership, truth, tenacity, humility, and the conviction that AI must be local and accessible.
- **Work model**: Flexible work environment with a strong bias toward work‑life balance; “Unlimited PTO.”
- **Perks** (source: [webai.com/careers](https://www.webai.com/careers)):
  - Comprehensive health coverage for body and mind
  - Parental leave and fertility support
  - 401(k) with company contribution
  - Learning stipend for professional development
  - Equity options
- **Engineering culture**: Developer‑first (CLI, Runtime) with focus on solving complex distributed‑systems and ML challenges; autonomy to shape the platform.

## Sources
1. [webai.com](https://www.webai.com)
2. [webai.com/about](https://www.webai.com/about)
3. [webai.com/careers](https://www.webai.com/careers)
4. [CB Insights](https://www.cbinsights.com/company/webai)
5. [LinkedIn](https://www.linkedin.com/company/webai-official)

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