AI Software Engineer

webAI; Austin (TX); On-site; USD 100,000 - 140,000; Full time

Benefits offered by this job

Competitive salary

Equity options

Comprehensive health benefits

401(k) match

$200/month Health & Wellness stipend

Continuing Education support

$500/year Function Health subscription

Free parking for in-office employees

Flexible Time Off

Parental leave

Supplemental life insurance

Job summary

webAI in Austin, Texas is seeking an AI Software Engineer to leverage deep expertise in high-performance computing and machine learning. This role involves deploying ML models into production, optimizing performance, and collaborating with AI Scientists on innovative projects. Candidates should possess 5+ years in software engineering, proficiency in C++ and Python, and experience with Docker and Kubernetes. The position offers competitive salary and extensive benefits including equity options and health stipends.

Qualifications

• 5+ years in Software Engineering or equivalent with focus on ML-specific systems.
• Deep experience in distributed computing.

Responsibilities

• Wrap models in high-performance APIs and integrate them into the software ecosystem.
• Build and maintain ETL pipelines for AI experiments and production inference.
• Implement techniques like pruning, quantization, and distillation.
• Develop robust testing suites for AI behaviors.
• Refactor research code into production-grade maintainable code.

Skills

High-performance computing

Machine learning inference

C++

Python

Docker

Kubernetes

ETL pipelines

CI/CD for ML

Education

Bachelor’s or Master’s in Computer Science

Tools

Vector Databases (Pinecone, Weaviate)

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:

We are 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. This position is based in‑office at our downtown headquarters.

Key Responsibilities

• Model Deployment: Wrap models in high‑performance APIs and integrate them into the broader software ecosystem.
• Data Engineering: Build and maintain the ETL pipelines that feed the AI Scientist’s experiments and the production inference engines.
• Optimization: Implement techniques like pruning, quantization, and distillation to ensure models run efficiently on edge devices or in high‑traffic cloud environments.
• System Testing: Develop robust testing suites for AI behaviors, including regression testing for hallucinations or bias.
• 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 the 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.

Core Values

• 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
• Equity options
• 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.