Job Description Full Stack AI Engineer (Vertex AI) :

Experience : 7+yrs

Location : Remote

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.