WebAI
AI Software Engineer
Austin, TX · Full-time · Posted Apr 22, 2026
- Experience
- 5+ years in Software Engineering or equivalent university time, with deep experience aligned with WIL objectives and a focus on ML-specific systems and distributed computing.
- Education
- Bachelor’s or Master’s in Computer Science or Software Engineering.
About the job
Build and optimize production-grade machine-learning inference software for edge devices and cloud environments, turning research models into scalable, efficient, and reliable systems.
What you'll do
- Apply pruning, quantization, and distillation to optimize models for edge or high-traffic cloud deployment.
- Wrap models in high-performance APIs and integrate them into the broader software ecosystem.
- Build and maintain inference frameworks, and work with AI Scientists to convert research code into maintainable production software.
What they ask for
- Proficiency in C++/Python, Docker/Kubernetes, vector databases (Pinecone, Weaviate), and CI/CD for ML.
- Focus on ML-specific systems and distributed computing.
Tools
C++, Python, Docker, Kubernetes, Pinecone, Weaviate, CI/CD
AI focus
Machine-learning inference engineering, including model optimization, deployment, and scalable inference frameworks for edge and cloud environments.
Model-written summary · the original posting is authoritative