AI Software Engineer

webAI•Austin, TX

23h•Onsite

About The Position

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.

Requirements

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.
Proficiency in C++/Python, Docker/Kubernetes, Vector Databases (Pinecone, Weaviate), and CI/CD for ML.
Bachelor’s or Master’s in Computer Science or Software Engineering.

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.