Role Overview
Webai is hiring a Forward Deployed Engineer. This is a full-time role in Austin. posted last week. Full responsibilities, required qualifications, and the apply link are listed in the description below.
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Job description
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.
About Webai
Frequently Asked Questions
How do I apply for the Forward Deployed Engineer position at Webai?
Use the Apply button above to submit your application directly to Webai. Most applications take less than 5 minutes if your resume and contact details are ready, and you'll be routed to the employer's official application system to finish.
Where is the Forward Deployed Engineer position at Webai located?
This position is based in Austin. Webai has not indicated remote or hybrid options for this role, so candidates should plan for on-site work.
What does a Forward Deployed Engineer at Webai earn?
Webai has not disclosed a salary range in this posting. Many employers share specifics later in the interview process; you can also ask during a recruiter screen if compensation transparency is important to you.
When was the Forward Deployed Engineer role at Webai posted?
This role was posted on July 15, 2026 (7 days ago). It's still listed as actively hiring; we re-confirm openings against the source system multiple times per day and remove closed roles.
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