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Hugging Face Jobs in Colorado (NOW HIRING)

Hands-on expertise in integrating generative AI tools, such as OpenAI APIs, LangChain, or Hugging Face frameworks, into SaaS applications. * Strong knowledge of RAG techniques, vector databases (e.g.

Experience with Machine Learning libraries and frameworks such as Hugging Face and LangChain * Experience with Linux * Familiarity with using AWS cloud computing resources such as EC2, S3, Lambda ...

Sr. Staff AI/ML Engineer

Denver, CO · On-site

$245K - $272K/yr

Proficiency with modern ML frameworks (PyTorch, TensorFlow, Hugging Face) and cloud platforms (GCP, AWS, or Azure). * Strong Python skills and sound software engineering fundamentals - testing, code ...

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Hugging Face information

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How much do hugging face jobs pay per hour?

As of Jul 14, 2026, the average hourly pay for hugging face in Colorado is $16.25, according to ZipRecruiter salary data. Most workers in this role earn between $13.65 and $19.23 per hour, depending on experience, location, and employer.

Can you make money on Hugging Face?

Hugging Face is a platform that offers opportunities for data scientists, machine learning engineers, and developers to monetize their skills through jobs, freelance projects, or contributing to open-source models. Earning potential depends on the type of work, experience, and whether you are employed directly or working independently. Building a strong portfolio and expertise in NLP and AI tools can increase income opportunities on the platform.

Which 3 jobs will survive AI?

Jobs that require complex human interaction, creativity, and critical thinking, such as healthcare professionals, educators, and skilled tradespeople, are likely to persist despite AI advancements. These roles often involve emotional intelligence, nuanced judgment, and hands-on skills that are difficult for AI to replicate. Continuous learning and adaptability remain important for job security in an evolving technological landscape.

What are Hugging Face jobs?

Hugging Face jobs refer to employment opportunities at the company focused on developing and maintaining open-source machine learning tools, especially in natural language processing. Roles may include software engineering, research, data science, and product management, often requiring skills in Python, deep learning frameworks, and collaboration in a tech environment.

How much do Hugging Face engineers make?

Hugging Face engineers' salaries vary based on experience, role, and location, but generally range from $100,000 to $180,000 annually. Senior positions and specialized roles in machine learning or software engineering tend to offer higher compensation, often including stock options and benefits.

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 cities in Colorado are hiring for Hugging Face jobs? Cities in Colorado with the most Hugging Face job openings:
Infographic showing various Hugging Face job openings in Colorado as of July 2026, with employment types broken down into 1% As Needed, 75% Full Time, 23% Part Time, and 1% Contract. Highlights an 92% Physical, 1% Hybrid, and 7% Remote job distribution, with an average salary of $33,807 per year, or $16.3 per hour.

Senior Full-Stack Engineer

Human Agency

Denver, CO • On-site

Full-time, Contractor

Re-posted 20 days ago


Job description

Location: US or Canada
Type: US Applicants - Full-Time; Canadian Applicants - Independent Contractor
About Human Agency
We're scaling rapidly and have a growing pipeline of opportunities that demand exceptional talent across disciplines. Our mission is to bring on individuals, from creative producers to technical experts to entrepreneurial leaders, who can help us realize this next chapter of growth.
We are a company of doers. Leaders roll up their sleeves, teams work flat, and everyone contributes to what ships. Titles don't insulate us from feedback or basics. We invite critique, learn quickly, and keep raising the bar. The best ideas win here, no matter where they come from, because clients trust us to deliver the strongest outcomes every time.
Our clients' missions, products, and bottom lines are sacred. We immerse ourselves in their world, becoming stewards of their goals and partners in solving big problems. Every product, strategy, or asset we create must be both beautiful and functional; practical, usable, and designed for real-world impact.
Humans are our most valuable resource, and we only grow by hiring people who push us forward. Across strategy, engineering, design, data, and operations, we seek out teammates who raise the bar and make us better. Always hire up, never down.
We partner with organizations of all sizes to explore, design, and implement AI strategies that are secure, scalable, and human-centered. We believe AI should amplify human potential, not replace it and we build with that conviction in every engagement. From advisory and tooling to implementation and education, we meet clients where they are at and help them integrate AI in ways that align with their mission and values. Our goal is to empower teams to work smarter, move faster, and unlock new possibilities through thoughtful, responsible innovation.
And through it all, we lead with purpose, love, and adventure. We do meaningful work with people we care about, and we make the ride an adventure worth taking. Because at Human Agency, who we are and how we work are one and the same.
The Opportunity
At Human Agency, we are shaping the future by combining cutting-edge AI solutions with intuitive software development. We specialize in building scalable and secure SaaS applications that empower enterprise clients to solve complex problems efficiently. As part of our team, you'll work on high-impact projects at the intersection of AI, machine learning, and secure software engineering.
We're seeking a Senior Full-Stack Engineer to join our growing team. In this role, you'll lead development initiatives, contribute to our SaaS products, and tackle exciting challenges in backend architecture, frontend design, and AI/ML integrations with a particular focus on generative AI technologies.
Responsibilities
SaaS Application Development
  • Detection:
    • Develop backend algorithms to process articles, chunk content, and integrate with LLMs for predictive text generation.
    • Build APIs and services to manage and scale the application's content workflow.
  • Protection:
    • Create secure PDF upload workflows with encryption to ensure compatibility with Adobe Acrobat.
    • Integrate authentication mechanisms like Okta for enterprise customer admin management.
    • Enable data recovery, auditing capabilities, and enterprise-grade administrative tools.
AI/ML and Algorithm Development
  • Collaborate with AI/ML teams to operationalize models such as OCR (Optical Character Recognition) and generative AI-based solutions (e.g., GPT models).
  • Implement RAG (Retrieval-Augmented Generation) use cases using vector databases and data embedding techniques to enhance application functionality.
  • Design workflows for large-scale data processing that enable efficient AI integrations and create dynamic AI-first features, such as custom GPTs tailored to enterprise needs.
DevOps & Operationalization
  • Establish CI/CD pipelines and formal release structures for software delivery.
  • Conduct security evaluations to identify vulnerabilities and optimize performance across AI-driven SaaS applications.
  • Manage infrastructure and workflows for custom AI solutions, including tools like Snowflake and LangChain.
Future-Focused Development
  • Build integrations and proof-of-concept applications leveraging company-specific datasets and AI technologies.
  • Evaluate and implement tools for classification, indexing, and secure data management that incorporate the latest in generative AI advancements.
  • Support the development of enterprise-grade AI solutions, including internal AI models and custom LLMs.
Requirements
Core Technical Skills
  • Proficiency in Python and Ruby on Rails, with significant backend experience.
  • Experience in designing secure systems, including encryption workflows and document protection mechanisms.
  • Hands-on expertise in integrating generative AI tools, such as OpenAI APIs, LangChain, or Hugging Face frameworks, into SaaS applications.
  • Strong knowledge of RAG techniques, vector databases (e.g. Pinecone, Weaviate), and embedding pipelines.
  • Ability to operationalize AI/ML models and build workflows for enterprise clients.
  • Frontend development experience in modern frameworks (e.g, React, Vue), with the ability to assess and recommend appropriate tech stacks.
Nice-to-Have Skills
  • Computer vision and OCR expertise, especially for processing and indexing complex document workflows.
  • Experience with authentication systems (e.g., Okta) and enterprise administrative tools.
  • Experience in DevOps, CI/CD pipelines, and secure release management.
  • Background in security evaluations, vulnerability assessments, and tool integrations.
Other Requirements
  • Strong testing background with experience in automated and manual testing.
  • Ability to manage data recovery, audits, and compliance workflows.
  • Strong problem-solving and analytical skills, with attention to detail in complex environments.
  • Excellent communication skills and the ability to work collaboratively across teams.
Why Join Us?
  • Be part of a cutting-edge team solving complex problems in AI and SaaS development.
  • Work on impactful projects with enterprise clients and cutting-edge technologies.
  • Grow your career in a collaborative, innovative, and supportive environment.

If you're excited about working on secure, scalable systems while integrating advanced AI and ML capabilities, we'd love to hear from you.
Equal Opportunity Commitment
Human Agency is an Equal Opportunity Employer. We value diverse backgrounds and strive to build an inclusive culture where everyone feels welcomed and empowered.