AI Software Engineer
Content + Source + Freshness • 17 Dec 2025 • 95% confidence
Offer value
Moderate value given the innovative environment, but firm requirements may restrict accessibility for less experienced candidates.
- Engagement in innovative AI technology development
- Hybrid working opportunity enhances flexibility
- Focus on dynamic automation tasks
- Limited salary transparency
Pros
- Opportunity to engage with innovative automation technologies
- Emphasis on AI agents integration
- Hybrid working model allows flexibility
Cons
- Not much information about salary or compensation
- Firm qualifications may limit the pool of potential candidates
- Expectations for rapid prototyping could lead to pressure
Who it's for
Entry to Mid-Level • Hybrid
Good fit
- Aspiring AI developers and engineers
- Professionals excited to build and prototype new tech
- Individuals looking for flexible work environments
Not recommended for
- Candidates with minimal experience in software development
- Those preferring fixed career progressions
- Individuals seeking only remote work
Motivation fit
Key skills
About the job
About GBOX
GBOX provides environments for AI Agents to operate computer and mobile devices.
Mobile Scenario: Your agents can use GBOX to develop/test android apps, or run apps on the Android to complete various tasks(mobile automation).
Desktop Scenario: Your agents can use GBOX to operate desktop apps such as browser, terminal, VSCode, etc(desktop automation).
MCP: You can also plug GBOX MCP to any Agent you like, such as Cursor, Claude Code. These agents will instantly get the ability to operate computer and mobile devices.
Role Description
This is a full-time hybrid role(on-site/remote) for an AI Engineer, located in the San Francisco Bay Area. The works you may involve:
- Develop In-house Agent that leverages GBOX for various tasks.
- Develop the In-house Agent framework.
- Develop GBOX MCP.
- Develop benchmark/eval for Agents/Models.
- Fine-tune models.
- Attending events in SF Bay Area
Qualifications
- Strong background in Computer Science and Software Development
- Deep understanding with LLMs, including prompts, agents
- Excellent problem-solving and analytical skills
- Great communication skills
