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Huggingface Jobs in Pennsylvania (NOW HIRING)

SID Global Solutions

AI Lead Developer

Exton, PA · On-site

$57 - $74.50/hr

Experience with OpenAI, Azure OpenAI, Claude, Gemini, and HuggingFace models. * Knowledge of MLOps, AI evaluation frameworks, and AI governance. * Experience with Spark, Kafka, and large-scale AI ...

Gehc

AI Scientist

North East, PA

Experience with frameworks and tools such as DeepSpeed, HuggingFace, Megatron, PyTorch lightning, etc. * Experience with various MLOps, ModelOps, FMOps (Foundation Model Ops) methods. * Experience ...

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How much do huggingface jobs pay per hour?

As of Jul 28, 2026, the average hourly pay for huggingface in Pennsylvania is $23.70, according to ZipRecruiter salary data. Most workers in this role earn between $13.63 and $27.68 per hour, depending on experience, location, and employer.

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 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 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 are the most commonly searched types of Huggingface jobs in Pennsylvania? The most popular types of Huggingface jobs in Pennsylvania are:
What job categories do people searching Huggingface jobs in Pennsylvania look for? The top searched job categories for Huggingface jobs in Pennsylvania are:
Huggingface jobs near you
Infographic showing various Huggingface job openings in Pennsylvania as of July 2026, with employment types broken down into 94% Full Time, 5% Part Time, and 1% Contract. Highlights an 88% Physical, 1% Hybrid, and 11% Remote job distribution, with an average salary of $49,299 per year, or $23.7 per hour.
AI Lead Developer

AI Lead Developer

SID Global Solutions

Exton, PA • On-site

$57 - $74.50/hr

Full-time

Posted 23 days ago

Job description


AI Lead Developer - Agentic AI & GenAI Solutions
Location: Exton, PA Onsite
Employment Type: Full-Time
We are seeking a hands-on AI Lead Developer to architect, build, and deploy enterprise-scale Agentic AI, Generative AI, and Multi-Agent Solutions. This role requires strong expertise in AI architecture, LLM-powered applications, cloud-native deployments, and scalable AI platforms.
The ideal candidate will lead the development of intelligent AI systems while mentoring engineering teams and driving AI innovation across the organization.
Career Growth Opportunity
This role is designed to evolve into a leadership position with the opportunity to grow into a Global AI Practice Head, leading AI strategy, delivery, innovation, and capability development across global teams.
Key Responsibilities
  • Design and develop enterprise-grade Agentic AI and Generative AIsolutions.
  • Build multi-agent systems using LangGraph, AutoGen, ADK, MCP, andrelated frameworks.
  • Develop RAG-based applications leveraging vector databases andenterprise knowledge sources.
  • Build scalable APIs and AI microservices using Python, FastAPI, andcloud-native architectures.
  • Deploy AI solutions on AWS, Azure, or GCP using Docker, Kubernetes,and CI/CD pipelines.
  • Implement AI security, governance, observability, and guardrails.
  • Collaborate with business, product, and engineering teams todeliver AI-driven solutions.
  • Conduct code reviews, mentor engineers, and contribute to AIarchitecture and roadmap planning.

Required Skills
  • 10+ years of software engineering experience with 4+ years inAI/GenAI solutions.
  • Strong Python development experience with FastAPI or Flask.
  • Hands-on experience with:
    • LangChain
    • LangGraph
    • AutoGen
    • ADK
    • MCP (Model Context Protocol)
    • Multi-Agent Architectures
  • Experience building RAG pipelines, embeddings, prompt engineering,and vector search solutions.
  • Experience with vector databases such as Pinecone, Weaviate, FAISS,Chroma, or Azure AI Search.
  • Strong knowledge of REST APIs, microservices, distributed systems,and cloud platforms (AWS/Azure/GCP).
  • Experience with Docker, Kubernetes, Redis, Kafka, and AIapplication deployment.
  • Strong understanding of AI security, memory management,scalability, and production AI systems.

Preferred Skills
  • Experience with OpenAI, Azure OpenAI, Claude, Gemini, and HuggingFace models.
  • Knowledge of MLOps, AI evaluation frameworks, and AI governance.
  • Experience with Spark, Kafka, and large-scale AI platforms.
  • Prior experience leading AI initiatives and mentoring engineeringteams.

What We're Looking For
A senior AI engineering leader who can move beyond chatbot development and build production-grade, enterprise-scale Agentic AI platforms, while helping shape the future AI strategy and practice of the organization.

Apply