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Hugging Face Jobs in New York (NOW HIRING)

Prophecy Technologies

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 ...

M2S Group

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 ...

Photon

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 ...

Photon

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 ...

Photon

Sr Gen AI Engineer - NY/NJ

Manhattan, NY · On-site

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

Besty AI

AI Engineer Intern

Manhattan, NY · On-site

AI Engineer Intern Location: New York City, SoHo (Fully In-Person) About Besty AI Besty AI is the leading AI-native operating system for the $1T+ short‑term‑rental and hotel industry. We're a ...

Forhyre

Prompt Engineers

New York, NY

Familiarity with machine learning frameworks and libraries like TensorFlow, PyTorch, or Hugging Face. * Strong analytical and problem-solving skills with a keen eye for detail. * Excellent ...

Forhyre

Prompt Engineers

New York, NY · On-site

Familiarity with machine learning frameworks and libraries like TensorFlow, PyTorch, or Hugging Face. * Strong analytical and problem-solving skills with a keen eye for detail. * Excellent ...

MDAEdge

Cloud Platform Engineer (ONLY W2)

Brooklyn, NY · On-site

$60.50 - $81/hr

SageMaker, Bedrock, OpenSearch (vector DBs). • Strong ML knowledge: algorithms, NLP, TensorFlow, PyTorch, Hugging Face. • Architecting data platforms and AI integrations. • Performance ...

Intac Solution

Network Tester

Berkeley Heights, NJ · On-site

$34 - $36/hr

Proficiency in AI/ML platforms and APIs (e.g., OpenAI, TensorFlow, PyTorch, Hugging Face, Azure AI Studio). * Travel required (30%). Requirements and Qualifications * Requires between 3-5 years ...

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How much do hugging face jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for hugging face in New York is $16.91, according to ZipRecruiter salary data. Most workers in this role earn between $14.18 and $20.00 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.

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Hugging Face jobs near you
Infographic showing various Hugging Face job openings in New York as of August 2026, with employment types broken down into 83% Full Time, 15% Part Time, and 2% Contract. Highlights an 92% Physical, 1% Hybrid, and 7% Remote job distribution, with an average salary of $35,174 per year, or $16.9 per hour.

Senior AI Engineer

Prophecy Technologies

New York, NY • On-site

$114K - $157K/yr

Full-time

Re-posted 21 days ago

Job description

Role Overview:
This role focuses on developing and operating production-grade agentic AI systems. The engineer will drive technical direction, influence architecture, and design/build core agent frameworks and orchestration layers.
Key Responsibilities:
  • Drive technical direction for agentic AI initiatives, influencing architecture patterns, autonomy boundaries, and system design.
  • Design, build, and operate production-grade agentic AI systems used across multiple products.
  • Own and evolve shared agentic AI capabilities, including:
  • Design and Develop Agent frameworks and orchestration layers
  • Planning, tool use, and memory strategies
  • Design Retrieval and grounding (RAG) pipelines
  • LLM infrastructure, inference, and model gateways
  • Evaluation, observability, and safety tooling for autonomous systems
  • Lead technical design reviews and help teams navigate tradeoffs involving autonomy, safety, reliability, scalability, and cost.
  • Partner across teams to deliver complex, cross-cutting agentic AI initiatives from concept to production.
  • Evaluate emerging models, techniques, and agentic patterns and translate them into practical, enterprise-ready improvements.

Required Skills:
  • 6+ years of experience building large-scale distributed systems + strong experience with LLM systems, agentic workflows or advanced ML infrastructure, async processing, queues, and streaming systems
  • Experience working on Typescript and Python, Gen AI, Agentic AI
  • Advanced proficiency in Python, Hands-on experience with PyTorch, TensorFlow, Hugging Face.
  • Practical knowledge of model orchestration frameworks (e.g., LangChain, LlamaIndex, CrewAI), Familiarity with vector databases
  • Experience with cloud platforms (AWS, Azure AI, Google Cloud Vertex AI) and containerization technologies
  • Proven ownership of complex, cross-cutting agentic systems spanning multiple teams or products.
  • Strong engineering fundamentals across backend systems, APIs, data pipelines, and cloud infrastructure.
  • Deep experience across the agentic AI stack, including planning, tool use, memory, and evaluation.
  • Fluency with AI-assisted and agentic development workflows.
  • Ability to influence technical direction and align teams without formal authority.
  • Problem-solving, cross-functional collaboration, and the ability to articulate complex AI concepts to non-technical business stakeholders

Qualifications:
  • 6+ years of experience

Preferred Skills:
  • Typescript and Python, Gen AI, Agentic AI

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