
Founding AI Solutions Engineer - USA
About this role
Role Overview
The Founding AI Solutions Engineer position at Inworld AI is a full-time, on-site role based in Mountain View, California, requiring candidates to work from the South Bay office several days a week. This position suits an experienced technical professional with a background in client-facing engineering who wants to bridge sales, product, and engineering in the artificial intelligence sector.
Key Responsibilities
Requirements
Nice to Have
Skills and Tools
Salary and Benefits
About the Company
Inworld AI operates as a research lab and inference provider focusing on realtime artificial intelligence for consumer-facing applications across gaming, healthcare, fitness, education, and media. The organization builds first-party speech models, serves large language models, and runs inference for high-volume workloads with backing from prominent investors including Lightspeed Venture Partners, Kleiner Perkins, Microsoft’s M12, and Founders Fund. Recognized globally as a top AI company and startup, Inworld powers interactive experiences for major enterprises worldwide.
How to Apply
Interested candidates should visit the official Inworld AI careers page to submit an application for this role.
Skills and tech stack
Questions candidates ask
What is the location of the Founding AI Solutions Engineer role?
The role is based in Mountain View, California, requiring on-site work in the South Bay office a few days a week. Candidates must live in the SF Bay Area or be willing to relocate.
What is the salary range for this position?
The base salary range is $170,000 to $250,000 per year, supplemented by a bonus, equity, and benefits.
What programming languages are required?
Strong hands-on coding ability is required, with Python strongly preferred and JavaScript or TypeScript considered a plus.
How many years of experience are required?
Candidates must have at least 5 years of experience in a customer-facing technical role such as a Solutions Engineer, Sales Engineer, Solutions Architect, or Technical Account Manager.
What background or nice-to-have skills are valued?
Bonus qualifications include experience with voice AI, TTS, STT, real-time streaming infrastructure like WebSocket or WebRTC, on-premise deployment patterns, and industry backgrounds in gaming, CCaaS, or media.