Full Stack AI Engineer (Vertex AI)

Role Overview

We are looking for a highly driven and hands-on AI Full Stack Engineer who thrives in fast-paced environments and can rapidly build, iterate, and deploy AI-powered products. The ideal candidate should have a strong builder mindset, excellent problem-solving skills, and the ability to convert ideas into production-ready solutions quickly.

You will work closely with cross-functional teams to develop scalable AI applications, integrate APIs and third-party platforms, and ensure product delivery aligns with business goals.

Key Responsibilities

• Design, develop, and deploy AI-powered applications using Google Cloud Vertex AI and Python.
  

• Rapidly prototype and iterate solutions using modern AI-assisted development workflows (“vibe coding” approach).
  

• Build and manage scalable REST APIs and full-stack integrations.
  

• Integrate third-party services such as Stripe, OAuth, and external APIs.
  

• Collaborate with product and business teams to align technical solutions with product objectives.
  

• Take complete ownership of features from development to production deployment.
  

• Optimize application performance, scalability, and reliability.
  

• Troubleshoot and resolve technical issues in a fast-moving development environment.
  

Required Skills & Experience

• Strong engineering experience with Google Cloud Vertex AI.
  

• Proficiency in Python and modern backend development practices.
  

• Hands-on experience with full-stack development and API integrations.
  

• Expertise in REST APIs, Stripe integration, and OAuth authentication.
  

• Strong understanding of rapid prototyping and AI-assisted development workflows.
  

• Solid product management awareness with the ability to translate business requirements into technical solutions.
  

• Proven ability to independently ship production-ready applications quickly.
  

• Excellent communication and collaboration skills.
  

Preferred Qualifications

• Experience working with AI/LLM-based applications and cloud-native architectures.
  

• Familiarity with modern frontend frameworks and deployment pipelines.
  

• Prior experience in startup or fast-paced product environments is a plus.
  

Additional Information

• Candidates must be available for the specified shift timings.
  

• Compensation will be calculated based on working hours.
  

• Strong communication skills are mandatory.