Job Summary

We are seeking a highly skilled Cloud AI Engineer with solid Cloud and Data Engineering capabilities to design, build, and deploy intelligent AI agents and end-to-end AI solutions.

The ideal candidate bridges the gap between AI research, data engineering, and full-stack software development. You should possess deep expertise in Vertex AI, GCP ADK, modern AI orchestration frameworks, and cloud-native data services. Beyond building systems, you must have hands-on experience in advanced AI optimisations—including prompt engineering, context engineering, and harness engineering.

Experience Required: 5+ Years of total IT experience (with a minimum of 2+ years dedicated to Google Cloud, Machine Learning, and AI)

● Job Location: PAN India

● Work Mode: Hybrid

Key Responsibilities

AI & Agentic Engineering

● Multi-Agent Design: Design, develop, and orchestrate complex Agentic AI applications and multi-agent workflows on GCP.

● Core AI Stack:



Build and deploy scalable AI solutions leveraging Vertex AI and GCP ADK (Agent Development Kit).

● Advanced LLM Techniques: Implement advanced Prompt Engineering, Context Engineering, and Retrieval-Augmented Generation (RAG) workflows.

● Testing & Evaluation: Design robust evaluation frameworks using Harness Engineering principles to benchmark agent performance, guardrails, and accuracy

Cloud Integration

● End-to-End Delivery: Develop full-stack AI applications, seamlessly integrating backend services, secure APIs (RESTful/gRPC), and responsive user interfaces.

● Scalable Infrastructure: Design and maintain scalable, secure, and production-grade AI systems utilizing GCP cloud-native architectures.

Skills:- Google Vertex AI, Google Cloud Platform (GCP), Retrieval Augmented Generation (RAG), adk, Prompt engineering and Context Engineering

📌 Cloud AI Engineer (India)
🏢 Market Research Future Reports
📍 India