Description

You will design and deploy production-grade Generative AI applications using Python, RAG, and agent frameworks on GCP.

Responsibilities

• Build end-to-end GenAI solutions utilizing RAG, prompt engineering, embeddings, and fine-tuning.
• Develop scalable APIs and services using Python, Flask, and FastAPI.
• Implement AI/ML pipelines using GCP Vertex AI, Gemini, Cloud Run, and Cloud SQL.
• Engineer agent-based applications using Google ADK, LangGraph, and CrewAI.
• Manage structured and unstructured data for search and retrieval systems.

Required Skills

• 8+ years of hands-on experience with Generative AI, ML, and Data Science technologies.
• 5+ years in AI/ML, including 2+ years specifically in GenAI projects.
• Strong proficiency in Python, including Flask and FastAPI frameworks.
• Experience with agent frameworks: Google ADK, LangGraph, CrewAI.
• Hands-on experience with GCP AI services: Vertex AI, Vertex AI Vector Search, Gemini, Cloud Run, Cloud SQL.
• Knowledge of MLOps and production-grade ML deployment.
• Understanding of API integration, test automation, and software engineering principles.

Preferred Skills

• Experience with Azure AI services or AWS Bedrock.
• Background in TensorFlow, NLP, and deep learning.

Key Skills

Education

Bachelor's degree