7 months ago
Responsibilities
- Collaborate with customers to scope, deploy, maintain, troubleshoot, and integrate production AI solutions.
- Design, develop, and deploy agentic workflows supporting multi-step reasoning, tool use, and production decision-making.
- Debug and optimize data pipelines and AI systems operating on customer networks.
- Translate ambiguous customer requirements into actionable technical solutions.
- Work across the stack, from model inference on consumer hardware to infrastructure automation.
- Read hardware schematics and logs to identify performance bottlenecks and recommend improvements.
- Represent the engineering team externally as a trusted technical advisor to enterprise clients.
- Provide feedback to internal teams to improve product robustness and usability.
Requirements
- At least 5 years of combined software engineering and machine learning experience.
- Active U.S. security clearance.
- Proven experience deploying and maintaining machine learning or AI systems in production.
- Strong expertise with ML frameworks such as PyTorch, TensorFlow, ONNX, and JAX.
- Experience debugging systems involving data pipelines, model inference, and hardware interaction.
- Strong communication skills and the ability to turn vague requirements into actionable plans.
- Ability to work in dynamic environments with substantial customer exposure.
- Preferred qualifications include edge or consumer-hardware model deployment, distributed systems, DevOps tooling, performance tuning, customer-facing engineering, full-stack application development, privacy-preserving AI, secure compute environments, and a relevant master’s degree.
Benefits
- Competitive salary and performance-based incentives.
- Health, dental, and vision benefits, including a high-deductible HSA option with company contribution.
- 401(k) match for U.S.-based employees.
- Flexible paid time off and parental leave for eligible employees.
- Continuing education support.
- Company-paid basic life insurance, supplemental life insurance, and short- and long-term disability coverage.
- Free parking for in-office employees.
- The preferred locations are Austin, Texas or the Washington, D.C./Northern Virginia area; fully remote work may be considered case by case.
- Up to 25% travel is required, including occasional on-site customer work.
Tech Stack
PyTorchTensorFlow
Categories
Forward Deployed
About webAI
webAI builds an end-to-end platform for training, deploying, and operating private AI models on infrastructure customers control, including edge devices. It sells enterprise software and developer SDKs/APIs used by public-sector, defense, aviation, and manufacturing teams to run specialized models with data sovereignty. Founded in 2020 and headquartered in Austin, Texas, the privately held company focuses on distributed AI/LLM infrastructure across local and cloud environments.