Agentic AI Engineer

Need only Local Candidates

Role Overview

We are seeking a highly skilled Agentic AI Engineer with expertise in Agentic AI, MCP (Model Context Protocol), Cortex, Evals, LangGraph, LangChain, Data Engineering, and Cloud Analytics Platforms . The ideal candidate will be responsible for designing, developing, and deploying enterprise-scale AI solutions, data modernization initiatives, and advanced analytics platforms that drive business transformation.

Key Responsibilities

AI & Agentic Systems

• Design and develop

Agentic AI applications

leveraging LLMs and autonomous workflows.

• Implement and manage

Model Context Protocol (MCP)

integrations for AI agent orchestration.

• Build and optimize AI workflows using

LangGraph

and

LangChain

frameworks.

• Develop AI evaluation frameworks using

Evals

to measure model performance, accuracy, and reliability.

• Integrate enterprise knowledge sources and external tools into AI-powered solutions.
• Work with

Cortex AI platforms

for model deployment, monitoring, and governance.

Data Engineering & Modernization

• Design and implement scalable

ETL/ELT pipelines

for structured and unstructured data.

• Lead data migration initiatives from legacy platforms to modern cloud ecosystems.
• Build and optimize enterprise data lakes and data warehouses.
• Develop data processing solutions using

Hadoop

,

Databricks

, and distributed computing frameworks.

• Ensure data quality, governance, security, and compliance standards.

Cloud Data Platforms

• Architect and manage data solutions on

Snowflake

and Databricks.

• Optimize data storage, performance tuning, and cost management.
• Develop complex SQL queries, stored procedures, and data transformation processes.
• Integrate cloud-native analytics and AI capabilities with enterprise platforms.

Analytics & Visualization

• Create interactive dashboards and executive reports using modern visualization tools.
• Translate complex datasets into actionable business insights.
• Work closely with stakeholders to define KPIs and reporting requirements.