Agentic AI Engineer

HireOn Tech; New York (NY); Sur place; USD 140 000 - 200 000; Plein temps

Résumé du poste

HireOn Tech seeks a highly skilled Agentic AI Engineer with expertise in Agentic AI, MCP, Cortex, Evals, LangGraph, LangChain, Data Engineering, and Cloud Analytics Platforms to design, develop, and deploy enterprise-scale AI solutions.

You will lead data modernization initiatives, advanced analytics platforms, and enterprise data pipelines across data lakes and warehouses using cloud-native analytics and distributed computing.

Qualifications

• Design and deploy enterprise-scale AI solutions and analytics.
• Proficiency integrating enterprise data sources and tools into AI workflows.
• Knowledge of cloud analytics and data modernization practices.

Responsabilités

• Design and develop Agentic AI applications leveraging LLMs and autonomous workflows.
• Implement and manage 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.
• 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.
• 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.
• 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.

Outils

Agentic AI

MCP (Model Context Protocol)

Cortex

LangGraph

LangChain

Evals

Hadoop

Databricks

Snowflake

ETL/ELT pipelines

Data Lakes / Data Warehouses

Cloud Analytics Platforms

Description du poste

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.
• 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.
• 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.
• 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.