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Hugging Face Jobs in New Jersey (NOW HIRING)

Rarefied IT Solutions Inc

AI Engineer

Woodbridge, NJ · On-site

$90 - $120/hr

Proficiency in Python and hands‑on experience with leading AI/ML frameworks such as Hugging Face, LangChain, and LlamaIndex. * Automation Tools: Practical experience with automation platforms like ...

EXL

Delivery Lead

Jersey City, NJ · On-site

Hands-on experience with LLM (Large Language Models), Agentic AI, and integration with APIs from platforms like OpenAI, Hugging Face, and AWS AI services. • Data Engineering: Strong background in ...

InterSources Inc

Gen AI Engineer

Edison, NJ · On-site

... LangChain, Hugging Face, Llama Index etc. Preferred : • Working experience with Gemini LLM • Hands-on knowledge in machine learning frameworks like PyTorch, TensorFlow, Keras • Hands-On ...

Accord Technologies Inc.

Sr. AI Developer w/ Reactjs

Warren, NJ · On-site

$56.50 - $74.75/hr

Strong proficiency in Python, with experience in AI/ML libraries such as TensorFlow, PyTorch, or Hugging Face. * Hands-on experience with React.js and front-end development. * Practical knowledge of ...

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How much do hugging face jobs pay per hour?

As of Aug 27, 2026, the average hourly pay for hugging face in New Jersey is $15.69, according to ZipRecruiter salary data. Most workers in this role earn between $13.17 and $18.56 per hour, depending on experience, location, and employer.

What is the difference between Hugging Face vs Machine Learning Engineer?

AspectHugging FaceMachine Learning Engineer
Required CredentialsTypically requires knowledge of NLP, deep learning, and Python; certifications are optionalRequires degrees in CS or related fields; experience with ML frameworks; certifications beneficial
Work EnvironmentCollaborative, research-focused, often in tech companies or startupsDevelopment, deployment, and optimization of ML models in various industries
Employer & Industry UsageUsed by AI/ML companies, research labs, and open-source communitiesEmployed across tech, finance, healthcare, and other sectors implementing ML solutions

Hugging Face primarily focuses on NLP tools, libraries, and open-source models, serving as a platform for AI research and development. Machine Learning Engineers develop, implement, and optimize ML models across various domains. While Hugging Face offers resources and tools that ML Engineers use, the roles differ: Hugging Face is a platform, whereas Machine Learning Engineer is a job role involving hands-on model development and deployment.

What are popular job titles related to Hugging Face jobs in New Jersey?

For Hugging Face jobs in New Jersey, the most frequently searched job titles are:

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What cities in New Jersey are hiring for Hugging Face jobs?

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Hugging Face jobs near you
Infographic showing various Hugging Face job openings in New Jersey as of August 2026, with employment types broken down into 78% Full Time, 17% Part Time, 2% Temporary, and 3% Contract. Highlights an 88% Physical, 1% Hybrid, and 11% Remote job distribution, with an average salary of $32,641 per year, or $15.7 per hour.

Gen AI Architect

Global IT Investors Inc dba TechnoVal Alliance

Jersey City, NJ • On-site

Contractor

Re-posted 26 days ago

Job description

Job Title: Gen AI Architect 

Job Location: New Jersey - Oniste

Duration: Long Term Duration

 
Demonstrate advanced programming expertise, particularly in Python, with deep proficiency in AI-centric libraries such as TensorFlow, PyTorch, and Hugging Face Transformers.
Architect and implement Retrieval-Augmented Generation (RAG) pipelines to enhance model performance using external knowledge sources, including document chunking, embedding generation, and retrieval systems.
Design, develop, and deploy Custom AI agents capable of autonomous decision-making and task execution using LLMs and multi-modal models.
Implement and manipulate complex algorithms essential for developing and optimizing generative AI models.
Manage data pipelines involving data pre-processing, augmentation, and synthetic data generation to enhance model training and performance.
Ensure robust data handling practices including cleaning, labeling, and structuring datasets for generative AI workflows.
Design MS Copilot Studio Agent Builder advanced skills, including custom plugin development, adaptive orchestration of multiple AI skills and APIs, contextual memory management, dynamic prompt engineering, and secure data handling.
Agent Orchestration: Build multi-turn agents that adapt and chain AI skills and APIs.
Trigger Management: Configure message, data, scheduled, and webhook triggers.
Automation Workflow: Design workflows with Power Automate for task automation.
Flow Design: Create logical, scalable flows for complex business processes.
Tool Integration: Use Copilot’s built-in connectors to integrate enterprise apps and services seamlessly.
 
Required Qualifications:
Bachelor’s or Master’s degree in Computer Science, AI/ML, or related field.
8+ years of experience in AI/ML engineering, with at least 1 year focused on Generative AI.
Hands-on experience with RAG architectures, including document chunking, embedding generation, and retrieval systems.
Proficiency in Python and familiarity with libraries such as Hugging Face, Transformers, OpenAI API, and PyTorch/TensorFlow.
Experience with Agentic AI frameworks (LangGraph, OpenAI SDK, AutoGen, CrewAI) and building agent accelerators using platforms like Copilot Studio or AWS Bedrock AgentsCore
Strong understanding of LLM capabilities, limitations, and prompt engineering techniques.
Experience with cloud platforms and containerization (Docker, Kubernetes).
Preferred Qualifications:
Experience with fine-tuning LLMs or training custom models.
Familiarity with multi-modal AI (text, image, audio).
Contributions to open-source GenAI projects or publications in AI conferences.