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Generative Ai Developer Jobs in Colorado (NOW HIRING)

CableLabs

Lead AI/ML Engineer

Louisville, CO · On-site

$135.20K - $165.36K/yr

Experience with LLMs, generative AI, agentic workflows, retrieval-augmented generation (RAG), and ... Experience developing software reference implementations, APIs, and developer-facing platforms

Vizient

Lead Data Scientist

Englewood, CO · On-site

$117.60K - $206K/yr

Evaluate and adopt emerging tools, advanced frameworks, and generative AI technologies to continuously enhance analytical capabilities and workflows. * Partner with engineering and platform teams to ...

Vizient, Inc.

Lead Data Scientist

Centennial, CO

$117.60K - $206K/yr

Evaluate and adopt emerging tools, advanced frameworks, and generative AI technologies to continuously enhance analytical capabilities and workflows. Partner with engineering and platform teams to ...

Visa

Staff SW Engineer, AI Solutions

Ashburn, VA · On-site

We are seeking a highly skilled AI developer with deep expertise in Agentic and Generative AI to drive the next wave of intelligent automation and digital transformation. In this role, you will be at ...

Quizlet

Applied AI Engineer

Denver, CO

We are looking for Applied AI Engineers at Staff and Sr. Staff levels (note: leveling decisions ... Generative AI & Agentic Systems - LLM‑powered tutoring, content understanding/synthesis, and ...

Quizlet

Applied AI Engineer

Denver, CO

We are looking for Applied AI Engineers at Staff and Sr. Staff levels (note: leveling decisions ... Generative AI & Agentic Systems - LLMpowered tutoring, content understanding/synthesis, and tools ...

Quizlet

Applied AI Engineer

Denver, CO · On-site

We are looking for Applied AI Engineers at Staff and Sr. Staff levels (note: leveling decisions ... Generative AI & Agentic Systems - LLM-powered tutoring, content understanding/synthesis, and tools ...

BillGO, Inc.

Data Scientist AI/ML

Fort Collins, CO · On-site

$102K - $146.90K/yr

... like generative models and LLMs, into core products, enabling smarter operations and more ... Data Engineering & Feature Design : Clean, transform, and model large, high-velocity financial ...

BillGO, Inc.

Data Scientist AI/ML

Fort Collins, CO

$102K - $146.90K/yr

... like generative models and LLMs, into core products, enabling smarter operations and more ... Data Engineering & Feature Design : Clean, transform, and model large, high-velocity financial ...

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Generative Ai Developer information

See Colorado salary details

$19

$47

$106

How much do generative ai developer jobs pay per hour?

As of May 29, 2026, the average hourly pay for generative ai developer in Colorado is $47.62, according to ZipRecruiter salary data. Most workers in this role earn between $24.76 and $57.64 per hour, depending on experience, location, and employer.

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

To thrive as a Generative AI Developer, you need strong programming skills (especially in Python), a deep understanding of machine learning concepts, and an advanced degree in computer science or a related field. Familiarity with frameworks like TensorFlow, PyTorch, and experience with cloud platforms or model deployment tools are typically required. Creative problem-solving, adaptability, and effective collaboration are standout soft skills in this evolving field. These abilities are crucial to design, implement, and refine generative models that solve real-world problems and drive innovation.

What are some common challenges faced by Generative AI Developers when deploying models in production environments?

Generative AI Developers often encounter challenges such as ensuring model reliability, managing computational resource requirements, and addressing ethical considerations like data bias or content safety. Deploying generative models at scale requires robust monitoring to detect unexpected outputs or model drift, and collaboration with data engineers and product teams to optimize performance. Staying up-to-date with evolving frameworks and best practices is essential, as production environments demand both technical rigor and adaptability to new AI advancements.

What is a Generative AI Developer?

A Generative AI Developer is a technology professional who specializes in designing, building, and deploying artificial intelligence systems that can create new content, such as text, images, audio, or code. They work with advanced machine learning models, like generative adversarial networks (GANs) or large language models, to enable computers to produce original outputs. These developers often collaborate with data scientists, researchers, and product teams to integrate AI-generated content into software applications and business solutions.

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

AspectGenerative Ai DeveloperMachine Learning Engineer
CredentialsBachelor's or higher in CS, AI, or related fields; experience with deep learning frameworksBachelor's or higher in CS, Data Science, or related fields; strong programming skills
Work EnvironmentDevelops AI models for content creation, chatbots, and creative applicationsBuilds and deploys ML models for various data-driven solutions across industries
Industry UsageTech, entertainment, marketing, and creative sectorsFinance, healthcare, tech, and e-commerce sectors

While both roles involve AI and machine learning, Generative Ai Developers focus on creating models that generate content, such as images or text, whereas Machine Learning Engineers develop broader ML solutions for diverse applications. The roles often overlap but differ mainly in their specific focus areas and use cases.

What are popular job titles related to Generative Ai Developer jobs in Colorado? For Generative Ai Developer jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Generative Ai Developer jobs in Colorado look for? The top searched job categories for Generative Ai Developer jobs in Colorado are:
What cities in Colorado are hiring for Generative Ai Developer jobs? Cities in Colorado with the most Generative Ai Developer job openings:
Generative Ai Developer jobs near you
Infographic showing various Generative Ai Developer job openings in Colorado as of May 2026, with employment types broken down into 42% Full Time, 51% Part Time, and 7% Contract. Highlights an 83% Physical, 1% Hybrid, and 16% Remote job distribution, with an average salary of $99,052 per year, or $47.6 per hour.
Lead AI/ML Engineer

Lead AI/ML Engineer

CableLabs

Louisville, CO • On-site

$135.20K - $165.36K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 6 days ago

Job description

Innovation at its Best: Join our Forward-Thinking Company
At CableLabs we wake up every day to invent the future. CableLabs is a global, award-winning innovation and R&D lab dedicated to keeping people connected by building and orchestrating emergent technology and igniting co-innovation today for the broadband of tomorrow.
The Lead AI/ML Engineer position resides in the Future Infrastructure Group at CableLabs. This department drives research and development activities focused on future access network technologies and virtualized infrastructure. Our team plays a crucial role in delivering software and infrastructure innovations that benefit the cable industry, with particular emphasis on Network Evolution, Platform Evolution, Reliability & Experience, and Differentiated Services.
Why This Role Is Exciting
CableLabs is seeking a Lead AI/ML Engineer to help define and build the next generation of intelligent broadband networks. This role will focus on architecting and developing AI-driven systems that enable real-time intelligence across broadband networks. You will work at the intersection of artificial intelligence, machine learning, software engineering, and network infrastructure, designing systems that transform network components into intelligent, data-driven platforms capable of detecting, analyzing, and resolving impairments in real time. You will help shape the architecture and implementation of advanced AI solutions that span the edge, access network, and cloud, while working closely with software engineers, network architects, and industry partners to bring innovative concepts into production-ready reference implementations.
We are looking for an AI/ML Engineer who is skilled in:
  • AI interoperability
  • Model Context Protocol (MCP)
  • Agentic workflows, embodied AI, and session automation.

What You'll Do
  • Stay abreast of emerging AI and ML technologies, new releases, industry trends, and research developments.
  • Lead the design and development of AI/ML architectures and reference implementations for intelligent broadband networks
  • Develop and deploy machine learning models that analyze telemetry, identify anomalies, predict impairments, and drive automated resolution workflows
  • Design AI systems that correlate application KPIs with network telemetry to enable closed-loop automation and Quality by Design capabilities
  • Build and integrate LLM-based systems, agentic workflows, and AI interoperability frameworks leveraging MCP and emerging industry standards
  • Create data pipelines to ingest, process, and analyze large-scale, real-time telemetry from network, application, and edge environments
  • Develop AI solutions that are designed to operate across distributed edge and cloud environments, including CPE, access nodes, core platforms, and virtualized infrastructure
  • Collaborate with cross-functional teams to prototype embodied AI and intelligent automation capabilities across broadband networks
  • Contribute to the development of APIs, frameworks, and models that support federated developer platforms and Network-as-a-Service capabilities
  • Evaluate and apply advanced AI techniques, including supervised learning, unsupervised learning, time-series analysis, causal inference, reinforcement learning, and generative AI
  • Establish best practices for AI model lifecycle management, including training, validation, deployment, monitoring, and continuous improvement
  • Ensure solutions are scalable, secure, observable, and member adoption ready
  • Mentor engineers and provide technical leadership across AI, ML, and software development initiatives

What Is a Must Have
  • 7+ years of experience in AI/ML engineering, data science, or related technical roles, with demonstrated technical leadership
  • Strong experience designing, developing, and deploying AI/ML systems in production environments
  • Proficiency in Python and experience with modern AI/ML frameworks such as PyTorch, TensorFlow, Scikit-learn, or similar
  • Experience with LLMs, generative AI, agentic workflows, retrieval-augmented generation (RAG), and tool orchestration frameworks
  • Experience building and optimizing machine learning pipelines and real-time inference systems
  • Experience working with structured and unstructured data, including time-series telemetry and streaming data
  • Strong understanding of machine learning algorithms, statistics, data structures, system design, and model evaluation techniques
  • Experience designing and working with databases and data platforms, including SQL, NoSQL, and vector databases
  • Familiarity with cloud-native and distributed environments, including containers, Kubernetes, and scalable AI infrastructure
  • Experience integrating APIs and working with service-oriented or microservices-based architectures
  • Experience with Git workflows (GitLab/GitHub)

What Will Set You Apart:
  • Strong software development background, including experience building scalable backend systems and distributed platforms
  • Proficiency in software development languages such as Go, Rust, C, or TypeScript
  • Experience with Model Context Protocol (MCP) or similar frameworks for AI interoperability and agent integration
  • Experience with orchestration frameworks such as LangChain, LangGraph, Ray, CrewAI, or similar technologies
  • Experience with telemetry, observability, or analytics platforms used in networked or distributed systems
  • Familiarity with broadband, telecommunications, DOCSIS, Wi-Fi, mobile, or network infrastructure technologies
  • Experience processing and analyzing large-scale time-series data for anomaly detection or predictive analytics
  • Experience developing software reference implementations, APIs, and developer-facing platforms
  • Experience creating technical documentation using AsciiDoc, Mermaid, Markdown, or similar tools
  • Bachelor's or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, Data Science, or a related field

At CableLabs You'll Enjoy Comprehensive Compensation and Benefits
Compensation: The salary range is $135,200 - $165,360. This position is eligible for bonus incentive compensation up to 20% of base salary.
Health Benefits: Comprehensive healthcare coverage including medical, dental, vision insurance. Access to flexible spending and health savings accounts with employer HSA contribution.
Retirement Benefits: Competitive 401(k) retirement plan with an employer match up to 6%plus an ADDITIONAL 8% contribution to 401(k) which becomes fully vested after only two years of employment.
Work-Life Balance: Flexible work arrangements, Unlimited PTO, 11 paid holidays, 100% paid family and medical leave.
To learn more and discover additional benefits, read our Employee Benefits Guide.
Working conditions and physical requirements
This job operates in a professional office environment. This role routinely uses standard office equipment. Working conditions for our office typically involve indoor settings, often with a mix of standing, sitting, and walking, along with the use of hands and fingers to operate computer equipment. Office workers also need to communicate through various means, including telephone, email, and in-person discussions, and they may be subject to moderate noise levels from office equipment. Required travel for this role is up to 25% of the time.
We understand that the confidence gap and imposter syndrome can make it challenging for exceptional candidates to apply. We encourage you to apply confidently and without hesitation, you may just be the right candidate for this position or similar opportunities.
CableLabs is an Equal Opportunity Employer and does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment decisions are decided on the basis of qualifications, merit, and business need. If you need assistance or accommodation due to a disability, you may contact us at humanresourcesteam@cablelabs.com or 303-661-3307. View our full EEO policy here.

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