Forward Deployed AI Engineer

webAI™

Integrating cutting-edge AI solutions into enterprise environments. Collaborating with customers and ensuring high performance and reliability at scale.

Posted 6/4/2026full-timeAustin • Texas • 🇺🇸 United StatesMid-LevelSeniorWebsite

Tech Stack

Tools & technologies

PyTorch

About the role

Key responsibilities & impact

Collaborate closely with customers to scope, deploy, and maintain AI solutions in production environments.
Debug and optimize data pipelines and AI systems running on customer networks.
Translate complex, often ambiguous customer requirements into well-scoped technical solutions.
Work across the stack—from model inference on consumer hardware to infrastructure automation.
Read hardware schematics/logs to identify performance bottlenecks and suggest improvements.
Serve as a trusted technical advisor to enterprise clients, representing the engineering team externally.
Contribute feedback and insight to internal teams to continuously improve product robustness and usability.

Requirements

What you’ll need

5+ years of combined experience in software engineering and machine learning.
Proven track record of deploying and maintaining machine learning/AI systems in production.
Strong expertise in MLX and/or PyTorch.
Experience debugging complex systems involving data pipelines, model inference, and hardware interaction.
Exceptional communication skills; able to challenge vague requirements and turn them into actionable plans.
Comfortable working in dynamic environments with high customer exposure.

Benefits

Comp & perks

Competitive salary
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

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

software engineeringmachine learningMLXPyTorchdata pipelinesmodel inferenceinfrastructure automationdebuggingperformance optimization

Soft Skills

communicationcollaborationproblem-solvingcustomer engagementtechnical advising