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Full Stack Ai Engineer Jobs in Colorado (NOW HIRING)

Kontoor Brands, Inc.

Full Stack Engineer

Denver, CO · On-site

$85K - $115K/yr

Full Stack Engineer, Helly Hansen IT The Role: The role of Full Stack Engineer is reporting to the Sr. Director, eCommerce Technology Delivery, will provide technical expertise on the design and ...

Apex Systems

Full Stack Developer

Greenwood Village, CO · On-site

As a Senior Software Engineer on the Configuration Management and Experimentation team, you will ... By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails ...

In Tandem

AI Engineer

Denver, CO · On-site +1

$100K - $135K/yr

AI Engineer Department: Data Engineering Employment Type: Permanent - Full Time Location: Remote ... A full-stack builder who wants the app layer too: you don't want to be boxed into infra. When a ...

Clerkie

Full-Stack Engineer

Denver, CO · Remote

$90/hr

About the role We're looking for a Full-Stack engineer who wants to build, own, and ship end-to-end ... AI & Interview Assessments At Clerkie, we embrace AI and use it throughout our day-to-day work. We ...

Releady

Principal Full Stack Engineer (Remote)

Denver, CO · On-site

$117.10 - $137.76/hr

They are building the universal operating system for healthcare - an AI-native, event-driven ... The environment is startup-minded with CI/CD and full end-to-end ownership. Developers own setup ...

Deloitte

Cyber Full Stack Manager

Colorado Springs, CO · On-site

Our work brings together digital trust, online protection, privacy, AI governance, identity, data protection, cybersecurity, and regulatory compliance capabilities. The Full Stack Engineer team is a ...

Deloitte

Cyber Full Stack Manager

Denver, CO · On-site

Our work brings together digital trust, online protection, privacy, AI governance, identity, data protection, cybersecurity, and regulatory compliance capabilities. The Full Stack Engineer team is a ...

Revolutional, LLC

Senior Full Stack Engineer

Denver, CO · Remote

$130K - $185K/yr

We apply modern capabilities, including AI/ML, cloud, cybersecurity, and IT modernization to solve ... Senior Full Stack Engineer Location: Remote Terms: Full-time Salary Range: $130K-185k DOE Clearance:

Quindar

Full Stack Engineer

Denver, CO · On-site

$120K - $180K/yr

About the Role Quindar is hiring a Full Stack Engineer to develop ground satellite operations software using Python, AWS, and modern web technologies. In this role, you will support mission-unique ...

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Showing results 21-40

All JobsFull Stack Ai Engineer JobsFull Stack Ai Engineer Jobs in Colorado

Full Stack Ai Engineer information

See Colorado salary details

$46.8K

$141.7K

$200.3K

How much do full stack ai engineer jobs pay per year?

As of Aug 21, 2026, the average yearly pay for full stack ai engineer in Colorado is $141,714.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,700.00 and $166,100.00 per year, depending on experience, location, and employer.

What is a full stack AI engineer?

A Full Stack AI Engineer is a professional who develops and deploys artificial intelligence solutions across both the front-end and back-end of applications. They combine expertise in AI and machine learning with software engineering skills, allowing them to build, integrate, and maintain AI-powered features throughout the entire technology stack. Their responsibilities often include designing machine learning models, integrating them with APIs, and ensuring seamless user experiences on web or mobile platforms. Full Stack AI Engineers bridge the gap between data science and software development, enabling scalable and production-ready AI applications.

What are the key skills and qualifications needed to thrive as a full stack AI engineer?

To thrive as a Full Stack AI Engineer, you need strong programming skills (such as Python, JavaScript), understanding of machine learning algorithms, and experience with both front-end and back-end development, often supported by a degree in computer science or related fields. Familiarity with frameworks like TensorFlow or PyTorch, cloud platforms (AWS, Azure, GCP), and containerization tools (Docker, Kubernetes) is typically required. Excellent problem-solving abilities, collaboration, and effective communication are standout soft skills in this role. These skills and qualifications enable the seamless integration of AI models into scalable applications, ensuring innovative and robust solutions.

How do full stack AI engineers typically collaborate with data scientists and front-end developers on AI-driven projects?

Full Stack AI Engineers often serve as the bridge between data scientists, who develop machine learning models, and front-end developers, who build user interfaces. They work closely with data scientists to understand the model requirements and deployment needs, and with front-end teams to ensure seamless integration of AI functionalities into applications. This collaboration requires effective communication skills and a clear understanding of both the technical and user experience aspects. Regular meetings, code reviews, and shared documentation are common practices to facilitate smooth teamwork and successful project outcomes.

What are popular job titles related to Full Stack Ai Engineer jobs in Colorado?

For Full Stack Ai Engineer jobs in Colorado, the most frequently searched job titles are:

What job categories do people searching Full Stack Ai Engineer jobs in Colorado look for?

The top searched job categories for Full Stack Ai Engineer jobs in Colorado are:

What cities in Colorado are hiring for Full Stack Ai Engineer jobs?

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Full Stack Ai Engineer jobs near you
Infographic showing various Full Stack Ai Engineer job openings in Colorado as of August 2026, with employment types broken down into 100% Full Time. Highlights an 75% In-person, and 25% Hybrid job distribution, with an average salary of $141,714 per year, or $68.1 per hour.

Senior Full Stack Product Engineer

LearnLux Financial Wellbeing

Denver, CO • On-site

Full-time

Re-posted 15 days ago

Job description

Job Summary:
LearnLux is the leading provider of workplace financial wellbeing, blending fiduciary digital planning with access to one-on-one guidance from Certified Financial Planner™️ professionals. As a Senior Full Stack Product Engineer, you'll build features that empower users to take control of their financial future, working on complex challenges and collaborating with various teams to shape the product.
Responsibilities:
• Design and ship AI-powered features directly into the user experience, turning new AI capabilities into real product value.
• Lead projects from concept to delivery, building impactful and scalable products that help users around the world achieve their financial goals.
• Resolve ambiguity early by partnering with Product and Design to close requirement gaps and keep work moving when the path isn't fully defined.
• Drive frontend development in React and TypeScript, running agent-assisted workstreams to ship scalable, maintainable interfaces.
• Design and implement backend systems and APIs with Node.js, Python, and serverless functions, deployed on Google Cloud Platform.
• Bring curiosity, empathy, and pragmatism to tradeoffs in product, UX, and technical decisions.
• Improve how we build by adopting AI-assisted and agentic development workflows, and bring new tools and practices to the team that increase our speed, quality, and creativity.
• Deliver high-leverage technical reviews that improve system and product quality.
• Support teammates through collaboration, pairing, and thoughtful technical discussion and leadership.
Qualifications:
Required:
• Demonstrated experience building and shipping GenAI or LLM-powered features into a user-facing product, along with a real drive to keep pushing what's possible with AI.
• Extensive full-stack experience with modern frontend and backend architecture, systems and API design, and both relational and non-relational data models, working comfortably across the stack in dynamic, AI-forward environments.
• Fluency with AI-assisted and agentic development workflows, and a track record of structuring the context that both teammates and AI agents need to succeed on a project.
• A product-minded approach to engineering, with care for the person on the other side of the screen and curiosity about how technical decisions shape outcomes.
• Hands-on experience building scalable systems on major cloud platforms (GCP, AWS, Azure, etc.).
• Thrives when operating with ambiguity: taking a loosely defined outcome and driving it to delivery with strong product judgment.
• Proven experience leading cross-functional projects, aligning technical and non-technical stakeholders to deliver high-impact outcomes.
• Enthusiasm for mentoring, knowledge-sharing, and contributing to a high-performing, mission-driven engineering team.
Company:
LearnLux is the leading provider of workplace financial wellbeing that blends fiduciary digital planning with access to one-on-one guidance from Certified Financial Planner® professionals. Founded in 2015, the company is headquartered in Boston, USA, with a team of 51-200 employees. The company is currently Growth Stage.

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