About this role
The Software Engineer, Deployed position at AI in San Francisco offers a unique opportunity to build enterprise-grade AI automation systems directly with major clients. This full-time engineering role suits technical professionals who thrive in fast-paced environments and want to turn complex operational workflows into reliable product capabilities.
Role Overview
As a customer-facing software engineer, the candidate will ship features, design new capabilities, and expand product utility inside highly complex enterprises. The role focuses on developing production-grade code that drives company revenue and shapes the broader product direction rather than simply building prototypes.
Key Responsibilities
Requirements
Nice to Have
Skills and Tools
Salary and Benefits
About the Company
AI operates an automation platform transforming enterprise operations through intelligent agents designed to understand and execute real-world workflows end-to-end. Founded in early 2024, the enterprise is trusted by prominent organizations like Fox, Notion, Perplexity, Vercel, and Brex. The mission focuses on eliminating repetitive manual work across multiple business functions such as IT, HR, Finance, Security, Legal, and Engineering. The company is backed by prominent investors including Sequoia Capital, Redpoint Ventures, Meritech, First Round, General Catalyst, and Elad Gil.
How to Apply
Interested candidates should visit the official company careers page to submit an application for this position.
Skills and tech stack
Questions candidates ask
What is the salary for the Software Engineer, Deployed role?
The salary ranges from $200,000 to $325,000 USD per year.
Where is the position located?
The job is located in San Francisco, California.
Is this a remote position?
No, this is an on-site role located in San Francisco.
What kind of experience is required?
Candidates need software engineering experience, ideally in a product-focused or customer-facing role, along with strong coding and system design skills and high ownership in fast-moving environments.
What skills are mentioned for the job?
The key skill highlighted is LLM, alongside backend services, APIs, system design, and production code delivery.
