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Tech Stack
Tools & technologiesCloudPython
About the role
Key responsibilities & impact- Build and deploy AI-powered applications using Google Cloud Vertex AI and Python
- Rapidly prototype and ship features using modern 'vibe coding' and AI-assisted development workflows
- Design, develop, and manage scalable REST APIs and backend integrations
- Implement and manage integrations with Stripe, OAuth, and third-party services
- Collaborate with stakeholders to translate business requirements into technical solutions
- Take ownership of end-to-end product delivery, from development to deployment
- Optimize applications for scalability, reliability, and performance
- Continuously iterate based on product feedback and evolving requirements
Requirements
What you’ll need- 7+ years of experience in AI Product Engineering
- Strong engineering experience with Google Cloud Vertex AI
- Proficiency in Python for backend and AI application development
- Proven experience in rapid prototyping and AI-assisted/vibe coding workflows
- Deep expertise in: REST API development, Stripe integrations, OAuth authentication systems, Full-stack integrations
- Strong understanding of product management and business alignment
- Demonstrated ability to independently own projects and ship production-ready code quickly
- Excellent problem-solving and debugging skills
- Strong verbal and written communication skills.
Benefits
Comp & perks- Remote Job
- Immediate Joiners Only
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
PythonGoogle Cloud Vertex AIREST API developmentStripe integrationsOAuth authenticationAI-assisted developmentvibe codingbackend integrationsscalable application designproduct delivery
Soft Skills
problem-solvingdebuggingcommunicationstakeholder collaborationproject ownershipindependenceadaptabilityiteration based on feedbackbusiness alignmenttechnical translation
