Original listing text, shown exactly as published by the company.
RESPONSIBILITIES
- Take existing AI-supported processes (currently built on Google Gemini Gems) and develop them into scalable, production-ready agents
- Partner with subject matter experts across copywriting, account management, design, video, and partnerships to understand workflows and iterate on solutions
- Design, build, and deploy AI agents and tooling that improve speed and quality across business functions
- Ensure AI solutions are secure, scalable, and reliable when deployed across multiple non-technical users
- Coach and upskill non-technical team members so they can adopt and use AI tools effectively
- Make deliberate, well-reasoned engineering decisions and explain the trade-offs (security, scalability, cost, reliability) clearly
- Document tools, workflows, and best practices so they can be maintained and scaled across the organization
- Partner with leadership to shape the AI roadmap, growing into ownership of it over time
- Stay current on the rapidly evolving AI landscape and bring new capabilities and ideas to the team
WORK SCHEDULEThis role follows a consistent daily rhythm that aligns with US Eastern business hours while giving you time for rest, personal tasks, and balance throughout your day.
Here’s what a typical day looks like
- Start your day with a 4.5-hour work block: 9:30am–2:00pm (PHT)
- Enjoy your afternoon free: 2:00pm–8:00pm (PHT)
- Finish your workday with another 4.5-hour block: 8:00pm–12:30am (PHT)
- Sleep/rest: 12:30am–9:30am (PHT)
This structure offers a long midday break while supporting strong collaboration with US-based teams during their business hours.
What Your Typical Day May Look Like
Note: All of these times would shift 1 hour later when the time difference switches to 13 hour differences from 12 hour differences
REQUIREMENTS
- Based in the Philippines with consistent availability for a long-term role
- At least 3 years of relevant engineering experience
- Exceptional English verbal and written communication skills, with the ability to explain technical concepts to non-technical people
- Strong academic background with an outstanding General Weighted Average
- Degree in Computer Science, Engineering, Information Technology, or a related technical field
- Proven experience serving as the engineering partner to non-technical teams or stakeholders
- Experience deploying scalable AI solutions, ideally within a professional services or agency context (a strong plus)
- Hands-on experience with AI development tools such as Claude, Codex, and Gemini, as well as other modern AI tooling
- Real understanding of AI deployment trade-offs — security, scalability, cost, and reliability — not just prompt-and-accept usage
- Strong coding ability alongside fluency with AI-native and agent-building tools
- Experience designing and deploying agents or automated workflows that scale across multiple users
- Highly organized, proactive, and able to drive adoption across non-technical teams
- Comfortable working cross-functionally with both technical and non-technical stakeholders
