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Generative Ai Developer Jobs in Colorado (NOW HIRING)

Senior AI Software Engineer

Denver, CO ยท On-site

$150K - $184K/yr

The Opportunity The Generative AI Innovation Team is transforming how Litera--and its clients--leverage data for competitive advantage. As a Senior AI Engineer, you will play a critical role in ...

The Staff AI Engineer will architect and operationalize production-grade multi-agent systems to ... Required : โ€ข 3+ years of experience building and shipping Generative AI and LLM applications into ...

Senior AI Software Engineer

Denver, CO ยท On-site

$126K - $166K/yr

The Opportunity The Generative AI Innovation Team is transforming how Litera-and its clients-leverage data for competitive advantage. As a Senior AI Engineer, you will play a critical role in shaping ...

AWS Certified Cloud Practitioner, AWS Certified Solutions Architect (Associate), AWS Certified AI Practitioner (AIF-C01), AWS Certified Generative AI Developer (Professional - AIP-C01), AWS Certified ...

Denver, CO Skills: QA/Test Engineering experience Must have- Experience testing Generative AI, LLM, or AI-based applications. Keyword: Skills: Modern Functional Quality Engineering Experience ...

... generative AI, retrieval-augmented systems, agentic workflows, or AI-enabled automations ... Strong software engineering fundamentals with practical experience building production-quality ...

Sr AI/ML Engineer

Lone Tree, CO

$106K - $146K/yr

Deep understanding and practical application of Agile/DevOps in large-scale AI/ML projects. * Demonstrated experience with reinforcement learning and generative AI models in production or research ...

Sr AI/ML Engineer

Longmont, CO ยท On-site

$103K - $141K/yr

Deep understanding and practical application of Agile/DevOps in large-scale AI/ML projects. * Demonstrated experience with reinforcement learning and generative AI models in production or research ...

Sr AI/ML Engineer

Lone Tree, CO ยท On-site

$106K - $146K/yr

Deep understanding and practical application of Agile/DevOps in large-scale AI/ML projects. * Demonstrated experience with reinforcement learning and generative AI models in production or research ...

Showing results 21-40

Generative Ai Developer information

See Colorado salary details

$19

$47

$106

How much do generative ai developer jobs pay per hour?

As of Sep 1, 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 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 are the key skills and qualifications needed to thrive as a generative AI developer?

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 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.

How to become a generative AI developer?

To become a generative AI developer, you should have a strong foundation in programming languages like Python, experience with machine learning frameworks such as TensorFlow or PyTorch, and knowledge of neural network architectures like transformers. Gaining expertise in natural language processing and deep learning, along with practical experience through projects or internships, is essential. Certifications in AI or data science can also enhance your qualifications.

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 cities in Colorado are hiring for Generative Ai Developer jobs?

Cities in Colorado with the most Generative Ai Developer job openings:

Infographic showing various Generative Ai Developer job openings in Colorado as of August 2026, with employment types broken down into 74% Full Time, 23% Part Time, and 3% Contract. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution, with an average salary of $99,052 per year, or $47.6 per hour.

Senior AI Software Engineer

FREEDOM SOLUTIONS GR

Denver, CO โ€ข On-site

$150K - $184K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

This job post hasย expired today.ย Applications are no longer accepted.


Job description

Join the Legal Tech Revolution at Litera. Hybrid Role This position is based in Denver, CO. Candidates should reside within reasonable commuting distance, as this role requires onโ€site presence at least three days per week. The Opportunity The Generative AI Innovation Team is transforming how Literaโ€”and its clientsโ€”leverage data for competitive advantage. As a Senior AI Engineer, you will play a critical role in shaping Litera's GenAI strategy, architecture, and technical standards across both customerโ€facing products and internal platforms.

You will serve as a technical leader and subjectโ€matter expert, partnering closely with engineering, product, security, and business teams. You will guide the design, development, and responsible adoption of Generative AI solutions, ensuring scalability, security, and longโ€term value. This is a highโ€impact opportunity to drive innovation at scale within a marketโ€leading organization.

Key Responsibilities

Lead the design and development of enterpriseโ€grade GenAI solutions, owning architecture decisions, technical patterns, and platform standards. Act as technical authority on LLMs, agentic systems, and emerging AI technologies, guiding adoption decisions and technical direction across engineering. Evaluate, prototype, and document emerging tools, platforms, and techniques, recommending strategic investments aligned with Litera's roadmap.

Own technical estimates, solution feasibility assessments, and delivery accountability for complex, crossโ€functional initiatives. Establish and maintain GenAI governance standards, including safety, security, and responsible use guidelines applicable to production deployments. Define and own LLM observability and evaluation standardsโ€”including tracing, quality metrics, and monitoring for production AI systems. Champion software engineering best practices including secure coding, design patterns, and performance optimization. Contribute highโ€quality, scalable, and secure code with a strong focus on maintainability and reliability.

Required

Experience 6+ years of professional software development experience, with at least 2 years focused on production GenAI systems and applications. Deep, handsโ€on experience with Large Language Modelsโ€”including context engineering, prompt design, structured outputs, and LLM evaluation. Experience with LLM observability and evaluation tooling (e.g., LangSmith, RAGAS, Arize, PromptFlow) and the ability to define and track GenAI quality metrics in production. Proficiency in Python, with working experience in LangGraph and/or LangChain.

Familiarity with agentโ€based and multiโ€agent orchestration architectures. Experience with enterprise SaaS RESTful APIs and cloudโ€based backend development. Comfortable with relational data stores (PostgreSQL preferred; Azure SQL or SQL Server also acceptable). Solid background in testing practicesโ€”including unit, integration, and evaluationโ€layer testing for AI systems (e.g., pytest).

Preferred

Skills

Handsโ€on experience building and shipping agentic workflows using LangGraph, Semantic Kernel, or comparable orchestration frameworks. Experience with LLM fineโ€tuning or working knowledge of PyTorch, TensorFlow, or scikitโ€learn at the application level. Strong foundation in RAG architectures, embeddings, vector databases, and semantic similarity.

Experience evaluating or operationalizing AIโ€assisted development tooling (e.g., GitHub Copilot, Cursor) within engineering teams. Strong familiarity with software architecture principles, security best practices (OWASP Top 10), and SOLID design. Education & Working Style Degree in Computer Science, Software Engineering, or equivalent practical experience. Strong systems thinking, technical judgment, and problemโ€solving ability. Comfortable operating autonomously while influencing across teams. Proven ability to manage complexity, prioritize effectively, and deliver at scale.

Benefits

Comprehensive Benefits: Competitive healthcare, retirement plans, generous PTO, and workโ€“life balance to support your wellโ€being and future. Career Growth: Clear technical and leadership career paths, continuous learning, and opportunities to expand your influence as AI continues to evolve. Pay Transparency Notice for Colorado Applicants The annual salary range for this position is $150,000 to $184,000. This role is also eligible to participate in a company bonus plan.

Actual compensation is determined by factors including education, work experience, certifications, and other relevant qualifications. Litera offers a comprehensive benefits package including health, dental, and vision insurance, 401(k) with company contribution, and incentive and recognition programs. All benefits are subject to eligibility requirements. Litera is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.