Description
Agentic AI Data Engineer
Role Overview
Total Experience required : 5-10 Years
We are seeking a highly skilled Agentic AI Data Engineer to design, build, and optimize intelligent, autonomous data systems that power next-generation AI applications. This role blends data engineering, machine learning infrastructure, and emerging agent-based AI frameworks to enable scalable, self-orchestrating pipelines and decision-making systems.
You will work at the intersection of data platforms, large language models (LLMs), and cloud-native architectures—building systems that can reason, act, and adapt autonomously.
Key Responsibilities
- Design and implement agentic AI systems that autonomously orchestrate data workflows and decision pipelines
- Build scalable data pipelines for structured and unstructured data (batch + real-time)
- Develop and manage LLM-powered applications using retrieval-augmented generation (RAG), tool use, and multi-agent frameworks
- Integrate AWS AI/ML services into production-grade architectures
- Develop and optimize data lakes, warehouses,
and lakehouse architectures
- Build APIs and microservices to expose AI/ML capabilities
- Ensure data quality, governance, and security across pipelines
- Collaborate with data scientists, ML engineers, and product teams to deploy AI solutions
- Implement monitoring, logging, and observability for AI agents and pipelines
- Optimize cost and performance of cloud-based AI workloads
Required Technical Skills
Cloud & AWS Ecosystem
- Solid experience with AWS services, including:
- Amazon S3, Glue, Lambda, Step Functions
- Amazon Redshift / Athena
- Amazon SageMaker (training, deployment, pipelines)
- Amazon Bedrock (foundation models, agents, knowledge bases)
AI/ML & Agentic Systems
- Experience with LLMs and generative AI systems
- Hands-on with agent frameworks (e.g., multi-agent orchestration, tool calling, planning systems)
- Familiarity with AgentCore / agent orchestration platforms
- Understand
📌 Agentic AI Data Engineer (Gurugram)
🏢 EXL
📍 Gurugram