AI Engineer- Weehawken, NJ- Onsite
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an AI Engineer in Weehawken, NJ, onsite, with a contract length of "unknown" and a pay rate of "unknown." Key skills include proficiency in Java, Python, Azure AI services, and AI frameworks like TensorFlow.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
560
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🗓️ - Date discovered
August 13, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
Unknown
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
New York, NY
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🧠 - Skills detailed
#Scala #Data Pipeline #Azure cloud #AI (Artificial Intelligence) #Java #pydantic #Cloud #Langchain #TensorFlow #Azure #Databases #Python
Role description
AI Engineer – Azure | Java & Python
The client seeks an experienced AI Engineer to design, develop, and deploy AI-powered enterprise applications, integrating cloud-based models into scalable, secure solutions.
Key Skills & Experience:
Strong proficiency in Java and Python.
Hands-on with AI frameworks: Spring AI, LangChain, LangGraph, LlamaIndex, Agno, Pydantic, TensorFlow.
Expertise in Azure AI services (Azure OpenAI, Azure AI Search).
Knowledge of advanced AI patterns: RAG, Agentic RAG, MCP, Functional Calling, A2A.
Experience in prompt/context engineering, vector databases, embeddings, and real-time data pipelines.
Proven ability to optimize AI models for accuracy and performance.
Responsibilities:
Build and integrate AI models into enterprise systems.
Architect and optimize AI solutions using Azure cloud.
Collaborate with cross-functional teams to deliver impactful AI features.
AI Engineer – Azure | Java & Python
The client seeks an experienced AI Engineer to design, develop, and deploy AI-powered enterprise applications, integrating cloud-based models into scalable, secure solutions.
Key Skills & Experience:
Strong proficiency in Java and Python.
Hands-on with AI frameworks: Spring AI, LangChain, LangGraph, LlamaIndex, Agno, Pydantic, TensorFlow.
Expertise in Azure AI services (Azure OpenAI, Azure AI Search).
Knowledge of advanced AI patterns: RAG, Agentic RAG, MCP, Functional Calling, A2A.
Experience in prompt/context engineering, vector databases, embeddings, and real-time data pipelines.
Proven ability to optimize AI models for accuracy and performance.
Responsibilities:
Build and integrate AI models into enterprise systems.
Architect and optimize AI solutions using Azure cloud.
Collaborate with cross-functional teams to deliver impactful AI features.
