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AI Data Engineer

New York, NY, US • Posted 5 days ago • Updated 5 days ago

Full Time

No Travel Required

On-site

$110,000 - $130,000/yr

Fitment

Dice Job Match Score™

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Job Details

Skills

Python
ETL
ELT
Data Engineering
LLM
Agentic AI
RAG
Langchain
LangGraph
Kubernetes
AWS
Azure
GCP
Docker
CI/CD

Summary

Job Description:

Role - AI Data Engineer

Location - NYC, NY- Hybrid (Local candidates only)

Employment Type: Fulltime

Experience: 9+ years

Mandatory Skills: Python, Data Engineering, ETL/ELT, Data Pipelines, LLM Applications, Agentic AI, RAG, LangChain, LangGraph, LlamaIndex, Vector Databases, Kubernetes, Cloud Platforms (AWS/Azure/Google Cloud Platform), Docker, CI/CD

Required Qualifications

Strong experience in Python application development .
Strong background in data engineering, data analytics, BI, or data application development .
Experience with cloud platforms and Kubernetes-based application/pipeline deployment .
Strong hands-on experience building production-grade data pipelines .
Strong understanding of data architecture, data processing, ETL/ELT, and data integration.
Experience working with databases, data warehouses, and/or modern data platforms.
Experience building data-facing applications or applications that interact directly with data and analytics platforms.
Hands-on experience developing LLM-powered applications .
Understanding of AI agent/harness engineering patterns and LLM application architecture.
Experience working with APIs, databases, data platforms, and enterprise data sources.
Cloud development experience with Kubernetes-based deployment .
Strong software engineering fundamentals including Git, testing, CI/CD, and production deployment.
Demonstrated ability to work independently and take ownership from requirements through delivery.
Strong analytical, troubleshooting, and communication skills.

Preferred Qualifications

Experience with agentic AI, LLM orchestration, RAG, or tool-using agents.
Experience with frameworks such as LangChain, LangGraph, LlamaIndex , or similar technologies.
Experience with vector databases and retrieval pipelines.
Experience integrating LLMs with enterprise data platforms.
Experience building dashboards, analytics applications, self-service data applications, or other data-centric user experiences.
Experience with AWS, Azure, or Google Cloud Platform.
Experience with Docker and Kubernetes.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 91131444
Position Id: 9053825
Posted 5 days ago

Contact the job poster

Subhakanta Behera

Recruiter @ CLPS Global

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