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Remote Generative Ai Engineer Jobs in Colorado (NOW HIRING)

Deloitte

AI and Data Science Engineer III

Denver, CO · On-site +1

$117K - $141K/yr

... and generative artificial intelligence solutions. * Partner with the Lead AI Solutions Architect and AI Data Engineer to translate Human Capital product requirements into technical designs and ...

ICF

Azure AI Data Engineer

Golden, CO · On-site +1

$118K - $142K/yr

US Remote Ready to make a difference? ICF is seeking an Azure AI Data Engineer to join our team ... services, generative AI, and intelligent data platforms to drive innovation. Automating data ...

CampMinder

Senior AI Platform Engineer

Boulder, CO · On-site +1

$110K - $151K/yr

Senior AI Platform Engineer Boulder, CO or remote Ideal start timeline: July 2026 Role status: Exempt Compensation: Our target hiring range is $175,000-$215,000 plus participation in our Annual Bonus ...

iDE

Technical Programming Intern

Denver, CO · On-site +1

$15.50 - $20.50/hr

Demonstrated interest in or experience with generative AI workflows, prompt engineering, or Large ... Work is performed primarily in a remote environment. * Normally required to see at far and close ...

iDE

Technical Programming Intern

Denver, CO · On-site +1

$15.50 - $20.50/hr

Demonstrated interest in or experience with generative AI workflows, prompt engineering, or Large ... Work is performed primarily in a remote environment. * Normally required to see at far and close ...

Invoca

Sr. Sales Engineer

Denver, CO · On-site +1

Generative AI Expertise: Practical experience with LLM orchestration (RAG, Prompt Engineering) and ... We are proud to be an equal opportunity workplace. #LI-Remote

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Remote Generative Ai Engineer information

What is the difference between Remote Generative Ai Engineer vs Remote Machine Learning Engineer?

AspectRemote Generative Ai EngineerRemote Machine Learning Engineer
Required CredentialsBachelor's or higher in CS, AI, or related; experience with generative modelsBachelor's or higher in CS, Data Science, or related; experience with ML algorithms
Work EnvironmentCollaborates on AI model development, focuses on generative models like GPT, GANsDevelops and deploys ML models for various applications, including predictive analytics
Employer & Industry UsageTech companies, AI startups, research institutionsTech firms, finance, healthcare, and data-driven industries

While both roles involve AI and machine learning, a Remote Generative Ai Engineer specializes in creating models that generate content, such as text or images, using generative techniques. In contrast, a Remote Machine Learning Engineer works on a broader range of ML models for predictive or classification tasks. The roles often overlap but differ in focus and application.

What are the key skills and qualifications needed to thrive as a Remote Generative AI Engineer, and why are they important?

To thrive as a Remote Generative AI Engineer, you need a solid background in computer science, machine learning, and deep learning, typically with a relevant degree and experience in building AI models. Familiarity with frameworks like TensorFlow or PyTorch, cloud platforms (such as AWS or Azure), and version control systems like Git is essential. Strong problem-solving, self-motivation, and effective remote communication set outstanding engineers apart in this role. These skills are crucial for developing innovative AI solutions, collaborating across distributed teams, and delivering impactful results in a remote work environment.

How do Remote Generative AI Engineers typically collaborate with cross-functional teams to deliver AI-driven solutions?

Remote Generative AI Engineers often work closely with data scientists, product managers, and software engineers to integrate generative AI models into products or services. Collaboration is usually facilitated through virtual meetings, code repositories, and project management tools, enabling seamless communication across different time zones. Regular check-ins and sprint reviews help ensure alignment on goals, while documentation and clear communication are essential for maintaining project momentum. This collaborative environment not only fosters innovation but also allows engineers to gain exposure to a variety of perspectives and expertise.

What is a Remote Generative AI Engineer?

A Remote Generative AI Engineer is a technology professional who specializes in developing, training, and deploying artificial intelligence models that can generate new content—such as text, images, audio, or video—while working from a remote location. These engineers typically work with advanced machine learning techniques like deep learning, neural networks, and large language models. Their responsibilities often include designing algorithms, optimizing model performance, and collaborating with distributed teams to build innovative AI-driven solutions. The remote aspect allows them to perform their duties from anywhere with internet access, offering flexibility and access to global opportunities.
What are the most commonly searched types of Generative Ai Engineer jobs in Colorado? The most popular types of Generative Ai Engineer jobs in Colorado are:
What are popular job titles related to Remote Generative Ai Engineer jobs in Colorado? For Remote Generative Ai Engineer jobs in Colorado, the most frequently searched job titles are:
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Remote Generative Ai Engineer jobs near you

Senior AI Engineer (Camgian Labs)

Camgian Corporation

Fort Collins, CO • On-site, Remote

$103K - $142K/yr

Full-time

Posted 28 days ago

Job description

As a Senior Artificial Intelligence Engineer for Camgian Labs, our advanced R&D and rapid prototyping team, you will lead the design and development of AI/ML-powered prototypes that push the boundaries of innovation in space and missile defense. You'll collaborate with multidisciplinary teams to pioneer novel solutions and engage directly with customers and stakeholders to translate visionary concepts to impactful technologies. This role offers the opportunity to solve complex technical challenges, mentor junior engineers, and contribute to thought leadership and proposal development activities
Qualifications
  • Bachelor's degree in aerospace engineering, electrical engineering, computer science, computer engineering, statistics, applied mathematics, or a related field.
  • 5+ years of professional experience in AI/ML model validation and deployment.
  • Demonstrated proficiency in algorithm development and implementation using Python or similar programming languages.
  • Strong mathematical background and knowledge of AI, ML, and deep learning concepts.
  • Excellent written and verbal communication skills.
  • Experience interfacing with customers and stakeholders in technical environments.
  • Proficiency with revision control systems (such as Git), including branching, merging, and managing code repositories in a team setting.
  • Ability to work both independently and collaboratively in a team environment.
  • Experience collaborating effectively as a member of remote or hybrid project teams.
  • Ability to travel up to 10% of the time within the United States to support customer engagements and technical exchanges.
  • Eligibility to obtain or maintain a U.S. Government Security Clearance which requires U.S. citizenship.
Desired Skills
  • Master's or PhD in aerospace engineering, electrical engineering, computer science, computer engineering, statistics, applied mathematics, or a related field.
  • Experience with AI frameworks (e.g., TensorFlow, PyTorch, scikit-learn, OpenCV).
  • Familiarity with tools such as NumPy, SciPy, Pandas, Matplotlib.
  • Experience deploying AI models in cloud environments (e.g., AWS, Azure).
  • Strong analytical skills and creative problem-solving ability.
  • Understanding of Agile development methodology.
  • Experience with space domain awareness, satellite operations, or space operations.
Key Responsibilities
  • Conduct research and development of novel AI/ML concepts, algorithms, and techniques to advance space and missile defense capabilities.
  • Lead the design, development, and testing of scalable AI/ML software prototypes for space and missile defense using large-scale datasets.
  • Interface with customers and stakeholders to gather mission requirements, present technical solutions, and ensure project alignment.
  • Mentor and guide junior engineers, fostering a culture of technical excellence and collaboration.
  • Track project milestones and budgets, ensuring timely and quality outcomes.
  • Support proposal-writing activities and thought leadership opportunities.
  • Engage in continuous learning and professional development to stay at the forefront of AI/ML advancements, space domain technologies, and relevant emerging R&D trends.
Why Join Us?
  • Work on mission-critical projects that directly impact national security.
  • Collaborate with leading experts in AI, engineering, and data science.
  • Enjoy a dynamic, innovative, and inclusive team culture focused on continuous learning and experimentation.
  • Opportunities for professional growth and technical leadership.
About Camgian
  • Camgian's mission is to deliver advanced AI/ML solutions that accelerate decision-making in high-stakes environments. Our advanced R&D unit, Camgian Labs, is seeking a Senior AI Engineer to support the team's space and missile defense initiatives.

Apply