Agentic AI Data Engineer

WOW Softech; Pune District, Gurugram District; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

WOW Softech is seeking an Agentic AI Data Engineer to design, build, and optimize autonomous data systems powering next-generation AI apps. You will work at the intersection of data platforms, LLMs, and cloud-native architectures to enable self-orchestrating pipelines and decisions.

You will collaborate with data scientists and ML engineers to deploy AI solutions, implement monitoring, and optimize costs for cloud workloads.

Qualifications

• 5-8 years of experience in data engineering or ML infrastructure.
• Experience designing data pipelines for structured and unstructured data.
• Familiarity with LLM-powered apps, retrieval-augmented generation (RAG) and multi-agent frameworks.

Responsibilities

• Design and implement agentic AI systems that autonomously orchestrate data workflows and decision pipelines
• Build scalable data pipelines for batch and real-time data
• Develop and manage LLM-powered applications using RAG and multi-agent tech
• Integrate AWS AI/ML services into production-grade architectures
• Develop and optimize data lakes and lakehouse architectures
• Expose AI capabilities via APIs and microservices
• Ensure data quality, governance, and security across pipelines
• Collaborate with data scientists and product teams to deploy AI solutions
• Implement monitoring and observability for AI agents and pipelines
• Optimize cloud-based AI workloads for cost and performance

Skills

Amazon SageMaker

Bedrock

AgentCore

Python

SQL

Job description

Agentic AI Data Engineer

Role Overview

Total Experience required : 5-8 Years

Location: Gurgaon/Pune

Notice Period: immediate joiners,

Key Skills- Amazon SageMaker, Bedrock, AgentCore, Python and Sql

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