Generative AI Engineer

Role Overview

This position is focused on hands-on work with cloud-based generative AI solutions, using Google Cloud Platform services and Python-based development workflows. The role calls for practical experience across AI/ML tooling, API integration, and real-world applications of large language models.

Core Technical Focus

• Use Google Cloud Platform services such as Vertex AI, AI Platform Pipelines, Cloud Functions, GKE, and ADK.
• Set up and manage Python environments along with dependency tools such as pip and conda.
• Integrate APIs using methods such as API keys and OAuth.
• Work on projects involving NLP, machine learning, or data science.
• Apply prompt engineering concepts in practical LLM use cases.
• Understand how transformer architecture supports modern natural language processing systems.
• Use AI code-assist tools as part of development workflows.

Experience Profile

The ideal candidate should bring a strong working knowledge of GCP fundamentals and exposure to AI/ML projects, along with familiarity with how models such as GPT, Claude, and LLaMA are deployed in production-like scenarios.