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Role Summary

Design and implement agentic AI infrastructure on GCP, building configurable data analyst agents with multi-agent orchestration, knowledge graphs, security, and observability at scale.

Key Responsibilities
- Build multi-agent orchestration frameworks with memory and caching layers
Design and instrument knowledge graph architectures for agent reasoning
Develop conversational analytics using Gemini Enterprise, Google ADK, and MCP
Configure BigQuery Data Agents and address data quality/deep research issues
Implement end-to-end security and observability for production agents
Build ETL/ELT pipelines and analytics-ready datasets on GCP

Required Qualifications

AI & Agents
- Strong understanding of LLMs,



agentic AI, multi-agent orchestration, and tool-calling concepts
Experience building with at least one LLM platform (Gemini, OpenAI, Anthropic, etc.) and exposure to contemporary agent frameworks
Familiarity with RAG architectures, agent memory systems, and prompt engineering through projects or self-directed learning
Strong foundation in software engineering that transfers well to agent systems development

Data Engineering
- Advanced SQL and BigQuery expertise
Experience building ETL/ELT pipelines and designing semantic models
Knowledge of up-to-date cloud data warehouse architectures

Software Development
- Strong Python development skills
Experience with APIs, distributed systems, Docker

GCP & Operations
- Working knowledge of GCP services (Compute, Storage, Data, ML/AI)
Understanding of cloud security best practices
Experience implementing observability and monitoring

Nice-to-Have
- Vector databases, Vertex AI, or knowledge graph experience
Background in internal developer platforms or analytics infrastructure

Experience: 6+

Salary: INR 18,00,000.00 - 25,00,000.00 Annual

📌 Senior Data Engineer Ai Ahmedabad
🏢 TechBlocks
📍 Ahmedabad