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Agentic AI Engineer
Jobrapido
2 hours ago
Full-time
On-site
White Plains, New York, United States
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.
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.