Description

We are seeking a Generative AI Engineer proficient in building and deploying full-stack AI solutions on the Google Cloud Platform. The ideal candidate will possess deep expertise in Python, utilizing frameworks such as FastAPI or Flask to create robust Back End services, and libraries like LangChain or LlamaIndex to construct sophisticated RAG and agent-based systems. You must have hands-on experience with GCP, particularly Vertex AI (for leveraging Gemini models and Vector Search), Cloud Run for serverless deployment, and BigQuery for data management.

On the frontend, you will be responsible for developing intuitive user interfaces using React, ensuring seamless integration with the Back End APIs. A strong understanding of containerization with Docker and implementing CI/CD pipelines within the GCP ecosystem is essential for this role.

Responsibilities

• Develop and deploy Back End services using Python (FastAPI or Flask)
• Build scalable GenAI systems including RAG, GraphRAG, and Agentic AI using LangChain or LlamaIndex
• Utilize Vertex AI (Model Garden, Gemini API, Vector Search) for model orchestration and intelligent search
• Implement serverless architecture with Cloud Run and manage data workflows via BigQuery
• Design and build responsive Front End applications using React
• Containerize applications with Docker and manage CI/CD pipelines using Cloud Build and Git
• Collaborate using VS Code, Jira, Playwright, and pytest for agile development and testing

Tools

• Vertex AI (Model Garden, Gemini API, Vector Search)
• Cloud Run, Cloud Functions
• BigQuery
• Docker, Git
• CI/CD pipelines (eg, Cloud Build)
• VS Code, Jira, Playwright, pytest

Skills

• Full-stack development (Python, React)
• Scalable Generative AI solutions
• RAG, GraphRAG, Agentic AI

Languages

• Python: LangChain, LlamaIndex, FastAPI/Flask
• JavaScript: React

Educational Background

• BSc in Computer Science, Statistics, Engineering, or related field
• Advanced certifications in AI/ML, cloud computing, or data engineering are advantageous