Forward Deployed Engineer

Posted 3 Days Ago
Be an Early Applicant
Austin, TX, USA
In-Office
Senior level
Artificial Intelligence • Cloud • Machine Learning • Software
The Role
Deploy and maintain AI systems at enterprise customers: own deployment runbooks, build deployment tooling, debug data pipelines and model inference, translate customer needs into production solutions, and act as a technical advisor during deployment and early production.
Summary Generated by Built In

About Us:

webAI is pioneering the future of artificial intelligence by establishing the first distributed AI infrastructure dedicated to personalized AI. We recognize the evolving demands of a data-driven society for scalability and flexibility, and we firmly believe that the future of AI lies in distributed processing at the edge, bringing computation closer to the source of data generation. Our mission is to build a future where a company's valuable data and intellectual property remain entirely private, enabling the deployment of large-scale AI models directly on standard consumer hardware without compromising the information embedded within those models. We are developing an end-to-end platform that is secure, scalable, and fully under the control of our users, empowering enterprises with AI that understands their unique business. We are a team driven by truth, ownership, tenacity, and humility, and we seek individuals who resonate with these core values and are passionate about shaping the next generation of AI.

About the Role:

As a Forward Deployed Engineer at webAI, you will be on the front lines of integrating cutting-edge AI solutions into real-world enterprise environments. You will work directly with customers to understand their needs, deploy AI systems into their infrastructure, and ensure high performance and reliability at scale. You’ll help bridge the gap between research, engineering, and operations—playing a pivotal role in building the future of edge AI.

This role will require a minimum of 25% travel, including occasional on-site work at customer locations to support deployment, troubleshooting, and integration of our platform within enterprise environments.

Key Responsibilities:

  • Own the deployment runbook and continuously improve it based on what breaks in the field

  • Serve as the technical point of contact for customers during deployment and early production phases

  • Build and maintain internal tooling to make deployments faster, more repeatable, and less dependent on tribal knowledge

  • 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.

  • 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.

Required Skills & Qualifications:

  • 5+ years of combined experience in software engineering, field engineering or deployment engineering.

  • Proven track record of deploying and maintaining machine learning/AI systems in production.

  • Scripting/automation ability (Python, Bash, or similar) to turn manual deployment steps into repeatable processes.

  • 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.

Preferred Qualifications:

  • 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.

  • Knowledge of privacy-preserving AI and secure compute environments.

  • Master’s degree in a relevant technical discipline.

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. We seek individuals who exemplify the following:

  • Truth - Emphasizing transparency and honesty in every interaction and decision.

  • Ownership - Taking full responsibility for one’s actions and decisions, demonstrating commitment to the success of our clients.

  • Tenacity - Persisting in the face of challenges and setbacks, continually striving for excellence and improvement.

  • Humility - Maintaining a respectful and learning-oriented mindset, acknowledging the strengths and contributions of others.

Benefits:

  • 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


webAI is an Equal Opportunity Employer and does not discriminate against any employee or applicant on the basis of age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We adhere to these principles in all aspects of employment, including recruitment, hiring, training, compensation, promotion, benefits, social and recreational programs, and discipline. In addition, it is the policy of webAI to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations and ordinances where a particular employee works.

Skills Required

  • 5+ years combined experience in software engineering, field engineering, or deployment engineering
  • Proven track record of deploying and maintaining machine learning/AI systems in production
  • Scripting/automation ability (Python, Bash, or similar) to automate deployment steps
  • Experience debugging complex systems involving data pipelines, model inference, and hardware interaction
  • Exceptional communication skills and ability to translate ambiguous requirements into actionable plans
  • Comfortable working in dynamic, customer-facing environments
  • Willingness and ability to travel a minimum of 25% for on-site customer work
  • Experience deploying models on edge devices or consumer hardware
  • Familiarity with distributed systems, DevOps tooling, and performance tuning
  • Knowledge of privacy-preserving AI and secure compute environments
  • Prior experience in a customer-facing engineering role
  • Master's degree in a relevant technical discipline
Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
HQ: Austin, Texas
49 Employees
Year Founded: 2020

What We Do

webAI is designed to streamline the training, deployment, and execution of AI models by offering a unified execution layer for AI that seamlessly integrates cloud-based services and local devices. Our goal is to revolutionize the AI industry by laying the foundation for the development of Super Intelligence (SI). By approaching AI execution in a heterogeneous manner, we aim to create scalable AI products that are industry leading. Our platform is dedicated to enhancing the performance and accessibility of AI technologies, making them more efficient and user-friendly for both businesses and individuals.

Similar Jobs

Domino Data Lab Logo Domino Data Lab

Forward Deployed Engineer, Life Sciences

Artificial Intelligence • Machine Learning
Easy Apply
Remote or Hybrid
US
200 Employees

Cloudflare Logo Cloudflare

Forward Deployed Engineer (FDE)

Cloud • Information Technology • Security • Software • Cybersecurity
Remote or Hybrid
6 Locations
4400 Employees
167K-264K Annually
In-Office or Remote
10 Locations
72000 Employees
98K-317K Annually

Tiger Analytics Logo Tiger Analytics

Forward Deployed Engineer (Generative AI)

Big Data • Analytics • Business Intelligence • Big Data Analytics
In-Office or Remote
4 Locations
5000 Employees

Similar Companies Hiring

Hanover Park Thumbnail
Artificial Intelligence • Fintech • Software • Financial Services
New York, New York
42 Employees
Kepler  Thumbnail
Fintech • Software
New York, New York
6 Employees
Onshore Thumbnail
Artificial Intelligence • Fintech • Software • Financial Services
New York, New York
60 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account