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
