Senior Gen Ai Engineer

Gen AI Data Engineer (Python)

Job Title : AI Agent Data Engineer / Software Engineer

Experience :5 - 13 Years

Location : Pan India

Work Mode : Hybrid

Job Description

We are seeking a highly skilled AI Agent Data Engineer with strong expertise in Python, data engineering, and AI agent frameworks. The ideal candidate will be responsible for building agent-ready data ecosystems, developing scalable data pipelines, and implementing AI agent solutions using modern agentic frameworks and Model Context Protocol (MCP).

This role requires hands-on experience in software engineering, data integration, API development, and enterprise AI solutions.

Key Responsibilities

• Design, build, and maintain scalable real-time and batch data pipelines for AI-driven applications.
• Enable agent-ready data architecture by ensuring seamless access, availability, and integration of enterprise data.
• Develop and implement AI agent systems using Google AI Development Kit (ADK) or similar agentic AI frameworks.
• Design, build, and test Model Context Protocol (MCP) integrations within enterprise environments.
• Develop and maintain RESTful APIs for agent-to-system communication.
• Integrate AI agents with enterprise applications, databases, and external services.
• Work closely with data owners, architects, and business stakeholders to ensure successful implementation.
• Perform continuous testing, monitoring, and optimization of data pipelines and integrations.
• Ensure data quality, reliability, scalability, and performance across systems.
• Contribute to best practices for AI agent development, deployment, and monitoring.

Must-Have Skills

Python
MySQL
Vector Databases
Prompt Engineering
RESTful API

Required Experience & Skills

• 5-13 years of experience in Software Engineering or Data Engineering.
• Minimum 2 years of hands-on experience in AI/ML, Generative AI, Agentic AI, or data-intensive application development.
• Strong proficiency in Python programming and backend development.
• Experience designing, building, and optimizing data pipelines.
• Hands-on experience with Vector Databases such as Pinecone, Weaviate, ChromaDB, Milvus, or similar.
• Strong understanding of Prompt Engineering and LLM-based applications.
• Experience developing and consuming RESTful APIs.
• Knowledge of MCP (Model Context Protocol) and AI Agent frameworks is highly preferred.
• Strong understanding of data modeling, API integration, and distributed systems.
• Experience with testing, debugging, and performance optimization of enterprise applications.

Mandatory Details:

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