Market Research Future Reports
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Job Summary
We are seeking a highly skilled Cloud AI Engineer with strong 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.
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