Full Stack AI Engineer (Vertex AI)
Job Description – Full Stack AI Engineer (Vertex AI) Experience: 7+yrs Location: Remote Shift Timings: 5:30 PM to 2:30 AM IST Notice Period: Immediate Joiners Only 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.