AI/ML Engineer

Role Overview

We are looking for a hands-on backend engineer to build enterprise-grade Generative AI applications using the Google Cloud ecosystem. The engineer will be responsible for developing secure, scalable APIs that orchestrate data retrieval between Large Language Models (LLMs) and various data sources.

Responsibilities

• Build and maintain production-ready REST APIs using Python (FastAPI)
• Develop RAG (Retrieval-Augmented Generation) pipelines using Vertex AI Search and Gemini
• Write efficient integrations for structured and unstructured data retrieval using BigQuery
• Implement LLM orchestration logic, prompt engineering, and response synthesis

Requirements

• Python: 2+ years (Proficient in Async, Pydantic, and API development)
• GCP Vertex AI: Experience with Vertex AI SDK, Agent Builder, or Discovery Engine
• Database: Strong SQL skills and experience integrating BigQuery with Python applications
• AI/ML Concepts: Deep understanding of vector search, embeddings, and LLM context management
• Tech Stack: Python, Google Cloud Platform (GCP), Vertex AI Services, BigQuery, Google ADK, Langchain, Langgraph