Senior Data Engineer - AI

Techblocks; Ahmedabad District; On-site; INR 2,500,000 - 4,000,000; Full time

Job summary

Techblocks is seeking an expert to design and implement agentic AI infrastructure on Google Cloud Platform. You will build configurable data analyst agents with multi-agent orchestration, knowledge graphs, security, and observability at scale, enabling robust analytics at enterprise scale.

Responsibilities include architecting memory-enabled orchestration and semantic models, integrating Gemini/OpenAI/Anthropic platforms, and ensuring data quality and production security across pipelines.

Qualifications

• 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 modern 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.
• Advanced SQL and BigQuery expertise.
• Experience building ETL/ELT pipelines and designing semantic models.
• Knowledge of modern cloud data warehouse architectures.

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.

Skills

LLMs

Agentic AI

Multi-agent orchestration

Tool-calling concepts

Prompt engineering

Software engineering

SQL

BigQuery

ETL/ELT pipelines

Semantic models

Tools

Gemini

OpenAI

Anthropic

Docker

Vertex AI

Knowledge graphs

Job description

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 modern 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
• Advanced SQL and BigQuery expertise
• Experience building ETL/ELT pipelines and designing semantic models
• Knowledge of modern cloud data warehouse architectures

Software Development

• 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