1

Hugging Face Jobs in Elizabeth, NJ (NOW HIRING)

AI Engineer

Manhattan, NY · On-site

$130 - $170/hr

Model-level work using PyTorch and the Hugging Face ecosystem (embeddings, fine-tuning, inference tooling) with some exposure to TensorFlow * Strong schema validation and state management practices ...

New

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 ...

... Hugging Face, spaCy) • Experience working with large-scale unstructured or semi-structured data • Practical knowledge of LLMs: prompt engineering, evaluation, fine-tuning, observability • ...

Gen AI Architect

New York, NY · On-site

$69 - $90.75/hr

Experience with AI/ML tools and frameworks such as TensorFlow, PyTorch, Hugging Face, LangChain, LangGraph, or similar. * Deep understanding of data workflows, feature engineering, model training ...

Familiarity with tools like Hugging Face, LangChain, or Mastra * Excellent communication skills and a collaborative, product-minded approach * Alignment with our values: a desire to empower others, a ...

Senior AI Engineer

New York, NY · On-site

$114K - $157K/yr

Advanced proficiency in Python, Hands-on experience with PyTorch, TensorFlow, Hugging Face. * Practical knowledge of model orchestration frameworks (e.g., LangChain, LlamaIndex, CrewAI), Familiarity ...

Artificial Intelligence Architect

New York, NY · On-site +1

$69.75 - $89.75/hr

PyTorch, TensorFlow, scikit-learn, and Hugging Face * MLOps: Docker, Kubernetes, CI/CD, MLflow, and model registries * Cloud & data: AWS, Azure, GCP, Spark, Airflow, and feature stores * LLM, GenAI ...

LangChain, LlamaIndex, and Hugging Face. Orchestration: LangGraph and Multi-Agent Systems (MAS). Development: Python, FastAPI, and Asynchronous Programming. RAG & Data: PostgreSQL, Vector Databases ...

Python + Gen AI Developer - New York

Manhattan, NY · On-site

$55 - $76/hr

LangChain, LlamaIndex, and Hugging Face. Orchestration: LangGraph and Multi-Agent Systems (MAS). Development: Python, FastAPI, and Asynchronous Programming. RAG & Data: PostgreSQL, Vector Databases ...

Showing results 41-60

Hugging Face information

See Elizabeth, NJ salary details

$8

$15

$21

How much do hugging face jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for hugging face in Elizabeth, NJ is $15.56, according to ZipRecruiter salary data. Most workers in this role earn between $13.08 and $18.37 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 job categories do people searching Hugging Face jobs in Elizabeth, NJ look for?

The top searched job categories for Hugging Face jobs in Elizabeth, NJ are:

What cities near Elizabeth, NJ are hiring for Hugging Face jobs?

Cities near Elizabeth, NJ with the most Hugging Face job openings:

Infographic showing various Hugging Face job openings in Elizabeth, NJ as of June 2026, with employment types broken down into 98% Full Time, and 2% Contract. Highlights an 78% Physical, 3% Hybrid, and 19% Remote job distribution, with an average salary of $32,357 per year, or $15.6 per hour.

AI Foundation Model Engineer (LLM / Agentic AI / Full-Stack AI Engineering)

Niche IT Software Solutions LLC

Jersey City, NJ • On-site

Other

Posted 20 days ago


Job description

AI Foundation Model Engineer

LLM / Agentic AI / Full-Stack AI Engineering
Level: Senior Individual Contributor
Experience: 9+ years

Role Overview

We are seeking a Senior AI Foundation Model Engineer to build and deploy secure, scalable, enterprise-grade AI solutions using LLMs, RAG and agentic workflows. The role involves developing production AI applications and reusable services for an AWS-hosted, cloud-agnostic AI platform.

Key Responsibilities

· Build LLM applications, RAG pipelines, knowledge assistants, document intelligence solutions and workflow agents.

· Develop embeddings, semantic search, reranking, grounding and citation capabilities.

· Deploy and manage AI services using APIs, Docker, Kubernetes, CI/CD and cloud-native infrastructure.

· Collaborate on Terraform/IaC, environment promotion, release controls and rollback procedures.

· Optimize models and inference for accuracy, latency, throughput, token usage, reliability and cost.

· Implement LLMOps/MLOps covering evaluation, monitoring, observability, feedback loops and continuous improvement.

· Ensure security, privacy, Responsible AI, governance and audit readiness.

· Maintain production documentation, runbooks and release records.

Required Skills

· Strong hands-on experience with LLMs, transformers, GenAI, RAG, embeddings and vector databases.

· Advanced Python skills and experience with PyTorch, TensorFlow, Hugging Face, LangChain, LlamaIndex, Semantic Kernel or similar frameworks.

· Production deployment experience using APIs, containers, Kubernetes, CI/CD and monitoring tools.

· Practical AWS AI/cloud experience, preferably with Bedrock, SageMaker, OpenSearch, Lambda and EKS/ECS.

· Working knowledge of Terraform/IaC, MLOps/LLMOps, model evaluation, inference optimization and secure data handling.

Preferred Experience

· Banking, risk, compliance, financial crime or enterprise technology experience.

· Experience with Kendra, Azure OpenAI, Vertex AI, Databricks, vLLM, Triton, MLflow, Kubeflow or model gateways.

· Knowledge of LoRA, PEFT, instruction tuning, quantization, model governance and private/open-source LLM deployments.

Alternate Titles: LLM Engineer, GenAI Engineer, AI Platform Engineer, RAG Engineer, Applied ML Engineer or NLP Engineer.