AI Software Engineer
webAI · Austin, TX
Applied AIonsitesenior
At a glance
Highlights
- Build distributed AI infrastructure bringing computation to the edge.
- Deploy large-scale models on standard consumer hardware privately.
- Turn research models into scalable, efficient production software.
What they offer
- Competitive salary and performance-based incentives
- Comprehensive health, dental, and vision benefits package
- 401k match (US-based only)
- Flexible PTO policy
- Parental leave for eligible employees
- Continuing education support
Ideal candidate
A builder-minded engineer who thrives where systems and applied ML meet, motivated by ownership and bringing private, edge-deployed AI to life.
Requirements
- 5+ years in Software Engineering with focus on ML-specific systems and distributed computing
- Deep expertise in high-performance computing and machine learning inference
- Proficiency in C++/Python, Docker/Kubernetes, Vector Databases and CI/CD for ML
- Bachelor's or Master's in Computer Science or Software Engineering
Lab profile
About webAI
Building distributed, private AI infrastructure for personalized, edge-deployed enterprise and government AI.
What they build
- Distributed AI infrastructure
- End-to-end private AI platform
Known for
- Distributed edge processing
- Private and sovereign AI
- Specialized enterprise intelligence
- Efficient and sustainable models
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