Senior Data Engineer - AI

Department Icon Data Science Analytics & Machine Learning
Posted: 3 weeks ago
5-10 years
Ahmedabad, India | Hyderabad, India
Data Science Analytics & Machine Learning
work from office
Full Time
Closes 18 Dec 2026

Posted: 3 weeks ago
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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 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
Data Engineering
    • Advanced SQL and BigQuery expertise
    • Experience building ETL/ELT pipelines and designing semantic models
    • Knowledge of modern 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

Skills

PythonSQLLLMPrompt EngineeringRAGData EngineeringBigQueryETLGCPDocker

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