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# AI-Native Builder

- **Company:** FARO Technologies, Inc.
- **Location:** San Mateo, CA, United States
- **Salary:** $200,000.0 - $250,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Data Systems, Software Engineering, Delivery Pipeline
- **Published:** June 24, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=a24f419bb5214700

## About the Role

Do you have experience in Research?, We care far more about evidence of exceptional building than specific credentials.

You will likely demonstrate many of the following:

 * Strong software engineering fundamentals
 * A history of building products, systems, tools, automation, workflows, or side projects
 * Demonstrated ability to learn new technologies quickly and independently
 * Experience using AI to accelerate development, research, analysis, or decision-making
 * Strong problem-solving skills and comfort operating in ambiguous environments
 * Ability to rapidly move from idea to implementation
 * Evidence of curiosity, initiative, and self-directed learning
 * Excellent written and verbal communication skills
 * Strong judgment and an ability to reason through tradeoffs
 * A bias toward action and experimentation

## Description

We are looking for AI-Native Builders.

This is not a traditional software engineering role. We are not looking for people who simply use AI tools. We are looking for builders who understand that the scarce resource is no longer code - it is judgment.

As an AI-Native Builder, you will identify opportunities, rapidly test ideas, build products, automate workflows, create capabilities, design evaluation systems, and help define how engineering itself evolves in the age of AI.

You may build software products, internal platforms, agent workflows, evaluation frameworks, data systems, automation pipelines, prototypes, or entirely new capabilities that do not yet fit into a traditional organizational chart.

Success in this role is measured by outcomes, learning velocity, and leverage - not by lines of code written.

You will:

 * Build the intelligence layer that helps engineering organizations understand how work happens across people, code, systems, and AI
 * Create agents and workflows that use Faros's operational context to assist with engineering planning, delivery, review, quality, reliability, and decision-making
 * Design the context systems, memory, tooling, and retrieval capabilities that allow AI to operate accurately within the messy realities of enterprise software development
 * Build evaluation frameworks that measure the effectiveness of humans, AI, and human-AI systems against real engineering outcomes
 * Develop reusable platform capabilities that make it easier for customers to build, deploy, govern, and improve AI-powered engineering workflows
 * Rapidly experiment with emerging models, tools, and techniques, turning promising ideas into customer-facing capabilities
 * Use data and evidence to identify bottlenecks in software delivery and create products that help organizations continuously improve
 * Help define what great engineering looks like in a world where humans and AI build software together


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