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Market Research Future Reports
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Market Research Future Reports

https://marketresearchfuture.com
Founded :
2015
Type :
Services
Size :
100-1000
Stage :
Profitable

About

Market Research Future (MRFR) is a global market research company that offers accurate analysis and insights into diverse markets and consumers worldwide. It combines proprietary information with various data sources to provide an extensive understanding of the latest key developments, expected events, and actionable insights for clients. MRFR's team of research analysts offers valuable analytics and data with respect to technological and economical advancements. The company performs industrial visits and procures relevant information from prominent market players to keep clients abreast of potential opportunities and challenges in different markets. MRFR provides step-by-step assistance to clients via strategic and consulting services to reach a managerial and actionable decision.
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Jobs at Market Research Future Reports

Market Research Future Reports
at Market Research Future Reports
Priyanka Puhan
Posted by Priyanka Puhan
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The recruiter has not been active on this job recently. You may apply but please expect a delayed response.

Remote only
5 - 8 yrs
₹18L - ₹35L / yr
Google Vertex AI
Google Cloud Platform (GCP)
Retrieval Augmented Generation (RAG)
adk
Prompt engineering
+1 more

 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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