Senior Data Engineer - AI
TechBlocks (company site, opens in a new tab)AhmedabadOn-siteDirect career pageEst. 15–28 LPA
Posted 9h ago
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Job description
Structured overview of role & requirements
About This Role
- Design and implement agentic AI infrastructure on GCP, including multi-agent orchestration frameworks with memory and caching layers.
- Build and maintain knowledge graph architectures and conversational analytics integrating Gemini Enterprise, Google ADK, and MCP.
- Develop and secure BigQuery Data Agents with end-to-end observability and build ETL/ELT pipelines and analytics-ready datasets on GCP.
Minimum Requirements
- Strong understanding and hands-on experience with LLM platforms (e.g., Gemini, OpenAI) and agentic AI including multi-agent orchestration.
- Advanced SQL and BigQuery expertise with experience building ETL/ELT pipelines and semantic data models.
- Proficient Python developer with experience in APIs, distributed systems, Docker.
- Working knowledge of GCP services (Compute, Storage, Data, ML/AI) and cloud security best practices. Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Experience developing complex, scalable AI agent systems integrating multiple LLMs and modern agent frameworks.
- Skilled in advanced cloud data engineering on GCP with a focus on BigQuery and productionized observability/security.
- Software engineer with strong Python skills comfortable building distributed systems and integrating with cloud services and APIs.