Senior AI Product Engineer (Vertex AI) 7 Years

– Senior AI Product Engineer (Vertex AI)

Position Details

• Role: Senior AI Product Engineer – Vertex AI
• Duration: 3 Months
• Location: Remote
• Shift Timings: | 5:30 PM – 2:30 AM IST

Role Overview

We are seeking a highly execution-driven Senior AI Product Engineer with strong hands-on expertise in designing, building, and deploying AI-powered products using Google Cloud Vertex AI.

This role requires a strong builder mindset, rapid execution capability, and end-to-end ownership across development, integrations, deployment, and production delivery. The ideal candidate thrives in fast-paced environments and can quickly transform ideas into scalable, production-ready AI solutions using modern AI tooling, cloud infrastructure, and full-stack integrations.

The position combines AI engineering, product thinking, rapid prototyping, and cloud-native development to deliver impactful business-focused applications.

Key Responsibilities

• Design, build, and deploy AI-powered applications using Google Cloud Vertex AI
• Rapidly prototype and iterate AI solutions in fast-moving product environments
• Develop and manage scalable backend services and REST APIs
• Implement integrations with:
• Stripe
• OAuth authentication systems
• Third-party platforms and APIs
• Collaborate closely with cross-functional teams to align technical execution with business goals
• Take ownership of end-to-end product development and production deployments
• Optimize application performance, scalability, reliability, and maintainability
• Contribute to architectural decisions, debugging, and technical problem-solving
• Ensure high-quality code standards, testing, and deployment practices

Required Skills & Experience

• Strong hands-on experience with Google Cloud Vertex AI
• Strong programming expertise in Python
• Proven experience building and shipping AI-powered applications
• Solid understanding of:

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• REST APIs
• Full-stack integrations
• OAuth authentication flows
• Stripe integrations
• Experience independently delivering production-ready applications
• Strong problem-solving, debugging, and ownership capabilities
• Ability to translate business requirements into scalable technical solutions
• Excellent communication and collaboration skills

Preferred Qualifications

• Experience working in startup or high-velocity product environments
• Exposure to:
• Generative AI applications
• LLM integrations
• AI workflow orchestration
• Familiarity with cloud-native deployment practices and scalable backend systems
• Experience with CI/CD pipelines and deployment automation

Educational Qualification

• Bachelors degree in Computer Science, Information Technology, Engineering, or a related field