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Huggingface Jobs in New Jersey (NOW HIRING)

$140K - $145K/yr

Experience with OpenAI APIs, Azure OpenAI, HuggingFace, and prompt engineering. Familiarity with building scalable APIs using FastAPI, Flask, or Django. Hands on knowledge of cloud services (Azure ...

$105K - $145K/yr

Experience building GenAI applications, including RAG, multi-agent systems, Text2SQL, fine-tuning, etc., with tools such as HuggingFace, LangChain, and DSPy * Expertise in deploying production-grade ...

Experience working with LLM frameworks and AI SDKs (OpenAI, LangChain, HuggingFace, etc.). * Experience with vector databases or embeddings systems (Pinecone, Weaviate, Elasticsearch, etc.

Senior AI Engineer

Princeton, NJ · On-site

$128K - $169K/yr

HuggingFace (transformers, datasets) - mandatory * Keras/TensorFlow/PyTorch * LangChain - strongly preferred * LlamaIndex for RAG * Familiarity with database technologies such as SQL. * Good problem ...

Senior AI Engineer

Princeton, NJ · On-site

$150 - $210/hr

Experience with ML frameworks, including HuggingFace (transformers, datasets) -- mandatory; Keras/TensorFlow/PyTorch; LangChain -- strongly preferred; LlamaIndex for RAG. * Familiarity with database ...

Senior AI Engineer

Princeton, NJ · On-site

$110K - $151K/yr

HuggingFace (transformers, datasets) - mandatory * Keras/TensorFlow/PyTorch * LangChain - strongly preferred * LlamaIndex for RAG * Familiarity with database technologies such as SQL. * Good problem ...

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How much do huggingface jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for huggingface in New Jersey is $25.74, according to ZipRecruiter salary data. Most workers in this role earn between $14.80 and $30.07 per hour, depending on experience, location, and employer.

What is a Huggingface job?

A Hugging Face job typically refers to a role at Hugging Face, a company specializing in machine learning and natural language processing (NLP). Employees at Hugging Face work on developing and maintaining open-source AI tools, including the popular Transformers library. Roles range from research and engineering to product and community development, often focusing on advancing state-of-the-art AI models.

What does a typical day look like for an engineer working at Hugging Face?

As an engineer at Hugging Face, your day typically involves collaborating with team members to design, develop, and improve state-of-the-art machine learning models and tools, with a strong focus on open-source NLP projects. You’ll participate in code reviews, experiment with new technologies, engage with the community through forums or GitHub, and help support user questions or issues. Expect a fast-paced, collaborative environment where cross-functional teamwork with product managers, researchers, and other engineers is common. The work is project-driven, with plenty of opportunities to contribute ideas, learn from experts, and advance your technical skills.

What are the key skills and qualifications needed to thrive in the Huggingface position, and why are they important?

To thrive in a role at Hugging Face, you typically need strong skills in machine learning, natural language processing (NLP), and software development, supported by a relevant degree in computer science or a related field. Familiarity with frameworks like PyTorch or TensorFlow, plus experience using version control systems such as Git, are often required; open-source contributions and cloud platform knowledge are a plus. Excellent communication, collaborative teamwork, and problem-solving abilities help candidates stand out in this dynamic, innovation-driven environment. These strengths are crucial because they enable individuals to develop high-impact AI tools, work effectively in interdisciplinary teams, and contribute to open-source communities.

What are the most commonly searched types of Huggingface jobs in New Jersey?

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

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What cities in New Jersey are hiring for Huggingface jobs?

Cities in New Jersey with the most Huggingface job openings:

Infographic showing various Huggingface job openings in New Jersey as of August 2026, with employment types broken down into 97% Full Time, 2% Part Time, and 1% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution, with an average salary of $53,539 per year, or $25.7 per hour.

Full Time job: Sr/ AI/ML Engineer (GenAI & Agentic AI / Whippany, NJ

VeridianTech

On-site

$140K - $145K/yr

Other

Re-posted 2 days ago


Job description

Job Title: Sr/ AI/ML Engineer (GenAI & Agentic AI)

Duration: Full Time

Location : Whippany, NJ 07981 (Hybrid)

Salary range: $140k to $145k

Experience Required: 5+ years in AI/ML
GenAI Experience: Minimum 2 years (hands on)
Agentic AI Experience: Minimum 6 months (CrewAI / AutoGen / LangGraph / LangChain Agents)
Role Summary
We are seeking a skilled GenAI & Agentic AI Engineer with strong experience in building end to end AI/ML solutions, Generative AI applications, and agent based automation workflows. The ideal candidate will have a solid background in machine learning along with hands on expertise in LLMs, RAG, embeddings, vector databases, and Agentic AI frameworks such as CrewAI, AutoGen, LangGraph, or LangChain Agents.
Key Responsibilities
Build and deploy GenAI applications using LLMs (OpenAI, Azure OpenAI, Claude, Gemini, Llama, etc.).
Develop Agentic AI workflows using frameworks such as CrewAI, AutoGen, LangGraph, or LangChain Agents.
Design and implement RAG pipelines, vector search solutions, and embedding based retrieval systems.
Build scalable AI services using Python, FastAPI/Flask, and cloud platforms (Azure/AWS/Google Cloud Platform).
Collaborate with cross functional teams to define use cases and convert them into production ready GenAI solutions.
Implement hallucination reduction, prompt engineering strategies, and model evaluation methods.
Integrate LLMs with enterprise applications, APIs, and automation workflows.
Work with vector databases (FAISS, Pinecone, Chroma, Weaviate) for semantic search.
Monitor, evaluate, and optimize GenAI models for accuracy, performance, and cost.
Required Skills & Experience
5+ years of experience in AI/ML, including model development, data preprocessing, EDA, training, and evaluation.
2+ years of hands on experience in Generative AI (LLMs, embeddings, RAG, LLM based apps).
6+ months of hands on experience with Agentic AI frameworks (CrewAI / AutoGen / LangGraph / LangChain Agents).
Strong proficiency in Python and ML libraries (Scikit learn, Pandas, NumPy).
Experience with OpenAI APIs, Azure OpenAI, HuggingFace, and prompt engineering.
Familiarity with building scalable APIs using FastAPI, Flask, or Django.
Hands on knowledge of cloud services (Azure/AWS/Google Cloud Platform) for AI deployment.
Strong understanding of REST APIs, microservices, and integration patterns.
Experience with Git, CI/CD, Docker, and model deployment best practices.