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
* Understanding of RA
📌 Agentic AI Data Engineer (Gurugram)
🏢 EXL
📍 Gurugram