webAI

webAI

Senior Forward Deployed AI Engineer

Washington D.C · Senior · Contract

No sponsorshipDetected 190 days ago
Distributed SystemsFull-Stack DevelopmentCloud PlatformsDevOpsMachine LearningTensorFlowPyTorchData EngineeringCybersecuritySystems EngineeringResearchCommunication

Stay score

odds of building a lasting career here

37Risky
Cap-exempt (no lottery)0
Sponsors this role80
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70

Thin sponsorship signal and lottery-bound. A low-probability bet with your clock running. Prioritize cap-exempt roles and proven entry-level sponsors first.

Lottery odds assume a STEM candidate.

Personalize to your clock →

Employer immigration record

from this employer's Department of Labor filings

Files H-1B transfers

3 transfer filings in the last year, covering 3 workers. Median labor-condition decision: 8 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

Community outcomes

No reports yet — be the first to help the next applicant.

About the role

  • This role sits at the intersection of machine learning, systems engineering, and deployment optimization, bridging research and real world implementation.
  • The ideal candidate will be based in Austin, Texas or in the Washington, D.C./Northern Virginia area.
  • On a case-by-case basis, we will consider fully remote candidates.

Responsibilities

  • Design, develop, and deploy agentic workflows to orchestrate multi-step reasoning, tool use, and decision-making across production systems.
  • Debug and optimize data pipelines and AI systems running on customer networks.

Requirements

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

Nice to have

  • Experience deploying models on edge devices or consumer hardware.
  • Familiarity with distributed systems, DevOps tooling, and performance tuning.
  • Prior experience in a customer-facing engineering role.
  • Proficiency in developing full stack applications
  • Knowledge of privacy-preserving AI and secure compute environments.
  • Master's degree in a relevant technical discipline.
  • We seek individuals who exemplify the following:
  • Truth - Emphasizing transparency and honesty in every interaction and decision.

Compensation

  • Competitive salary and performance-based incentives

Benefits

  • We strive to provide competitive benefits to all employees.
  • The benefits listed in this posting generally apply to U.S.-based employees.
  • For employees hired outside the United States, benefits may vary based on local law, country-specific requirements, and the employment platform or entity through which the employee is hired.
  • Comprehensive health, dental, and vision benefits package
  • Including a high-deductible HSA option with company contribution
  • Flexible PTO Policy
  • Parental leave for eligible employees
  • Continuing education support
  • Basic, company-paid life insurance
  • Supplemental life insurance
  • Company-paid short and long term disability
  • We adhere to these principles in all aspects of employment, including recruitment, hiring, training, compensation, promotion, benefits, social and recreational programs, and discipline.

Company info

  • We at webAI are committed to living out the core values we have put in place as the foundation on which we operate as a team.
  • Collaborate closely with customers to scope, deploy, and maintain AI solutions in production environments.

Visa & Work Authorization

  • Active US Security clearance

This listing is sourced directly from webAI's careers page and normalized into a canonical job model.