Senior Forward-Deployed AI Engineer — Edge & Production

webAI; United States; Hybrid; USD 140,000 - 220,000; Full time

Benefits offered by this job

Competitive salary

Health, dental, and vision benefits

401(k) match

Equity options

$200/month Health & Wellness stipend

Continuing Education support

$500/year Function Health subscription

Free parking for in-office employees

Flexible Time Off

Parental leave for eligible employees

Supplemental life insurance

Job summary

webAI seeks a Senior Forward Deployed AI Engineer to build production‑ready AI systems for secure, distributed environments. You will transform prototypes into scalable solutions across hardware from government cloud to edge devices, coordinating with customers and internal teams.

Based in Austin or the Washington, DC area (remote candidates considered case-by-case), this role requires 5+ years in software and ML, an active US security clearance, and a proven track record deploying ML systems in

Qualifications

• 5+ years of combined experience in software engineering and machine learning.
• Active US Security clearance.
• Proven track record of deploying and maintaining ML/AI systems in production.
• Strong expertise in ML frameworks such as PyTorch, TensorFlow, ONNX, JAX.
• Experience debugging data pipelines, model inference, and hardware interaction.
• Exceptional communication; able to translate vague requirements into actionable plans.
• Comfortable in dynamic environments with high customer exposure.

Responsibilities

• Collaborate with customers to scope, deploy, and maintain AI solutions in production environments.
• Design, develop, and deploy agentic workflows to orchestrate multi-step reasoning across production systems.
• Debug and optimize data pipelines and AI systems on customer networks.
• Translate complex 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.
• Contribute feedback to internal teams to improve product robustness and usability.

Skills

Software engineering

Machine learning

Security clearance

PyTorch

TensorFlow

ONNX

JAX

Data pipelines debugging

Communication

Customer-facing

DevOps tooling

Education

Master’s degree in a technical discipline

Bachelor’s degree in a technical field

Tools

Edge deployment tooling

DevOps tooling

Security and privacy tooling

Job description

webAI seeks a Senior Forward Deployed AI Engineer to build production‑ready AI systems for secure, distributed environments. You will transform prototypes into scalable solutions across hardware from government cloud to edge devices, coordinating with customers and internal teams.

Based in Austin or the Washington, DC area (remote candidates considered case-by-case), this role requires 5+ years in software and ML, an active US security clearance, and a proven track record deploying ML systems in