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Generative Ai Developer Jobs in Colorado (NOW HIRING)

Litera

Senior AI Software Engineer

Denver, CO · 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 ...

Deloitte

Forward Deployed Engineer- AWS

Denver, CO

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 ...

Strive Health

Principal AI Engineer

Denver, CO · On-site

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

Sierra Nevada Corporation

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 ...

H2B Consulting, Inc.

AI/ML Engineer III

Englewood, CO · On-site

$150 - $200/hr

H2B Consulting is seeking an AI/ML Engineer III for a 4-month onsite contract in Englewood, CO. In ... Expertise in deep learning, reinforcement learning, generative AI, and production machine learning ...

Sierra Nevada Corporation

Sr AI/ML Engineer

Longmont, CO

$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 ...

Sierra Nevada Corporation

Sr AI/ML Engineer

Lone Tree, CO · 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 ...

Pwc

AI Engineer

Denver, CO · On-site

$50K - $112K/yr

... generative AI techniques, including prompt engineering, LLM evaluation, and fine-tuning, to develop production-ready applications powered by foundation models - Developing automated evaluation ...

Sony

$50/hr

Master's degree in Computer Science , Electrical Engineering, Applied Mathematics, or related fields. * Proven knowledge and expertise in generative AI applications, including deep generative ...

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All JobsGenerative Ai Developer JobsGenerative Ai Developer Jobs in Colorado

Generative Ai Developer information

See Colorado salary details

$19

$47

$106

How much do generative ai developer jobs pay per hour?

As of Sep 8, 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 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 September 2026, with employment types broken down into 1% Internship, 72% Full Time, 22% Part Time, 1% Temporary, and 4% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution, with an average salary of $99,052 per year, or $47.6 per hour.

Senior AI Software Engineer

Litera

Denver, CO • On-site

$126K - $166K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 25 days ago

Job description

Job Description
Join the Legal Tech Revolution at Litera
Are you ready to shape the future of how law is practiced? At Litera, we're on a mission to Raise The Bar™️ for the legal profession by delivering transformational and globally-trusted solutions to law firms and corporate legal teams worldwide. We've been a leader in legal tech innovation for 30 years and are leading the legal AI revolution to this day with most of the world's largest law firms as our clients. If you're passionate about building AI-forward solutions that scale globally and want your work to impact millions of legal professionals worldwide, this is your opportunity to be part of an extraordinary team that's elevating the craft of law.
Hybrid Role: This position in based in Denver, CO and candidates should reside within reasonable commuting distance, as this role requires on-site presence at least three days per week.
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 Litera's GenAI strategy, architecture, and technical standards across both customer-facing products and internal platforms.
In this role, you will serve as a technical leader and subject-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 long-term value. This is a high-impact opportunity to drive innovation at scale within a market-leading organization.
Key Responsibilities
  • Lead the design and development of enterprise-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, cross-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 standards - including tracing, quality metrics, and monitoring for production AI systems.

  • Champion software engineering best practices including secure coding, design patterns, and performance optimization.

  • Contribute high-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, hands-on experience with Large Language Models - 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 agent-based and multi-agent orchestration architectures.

  • Experience with enterprise SaaS RESTful APIs and cloud-based backend development.

  • Comfortable with relational data stores (PostgreSQL preferred; Azure SQL or SQL Server also acceptable).

  • Solid background in testing practices - including unit, integration, and evaluation-layer testing for AI systems (e.g., pytest).

Preferred Skills:
  • Hands-on experience building and shipping agentic workflows using LangGraph, Semantic Kernel, or comparable orchestration frameworks.

  • Experience with LLM fine-tuning or working knowledge of PyTorch, TensorFlow, or scikit-learn at the application level.

  • Strong foundation in RAG architectures, embeddings, vector databases, and semantic similarity.

  • Experience evaluating or operationalizing AI-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 problem-solving ability.

  • Comfortable operating autonomously while influencing across teams.

  • Proven ability to manage complexity, prioritize effectively, and deliver at scale.

Why Join Litera?
  • A People-First Culture: We focus on helping each other grow, doing the right thing, and building solutions that amplify impact across the legal industry.

  • Meaningful Work: Your contributions directly influence how legal professionals work, collaborate, and serve their clients.

  • Global & Diverse Team: Collaborate with talented professionals around the world in an environment that values empathy, inclusion, and innovation.

  • Comprehensive Benefits: Competitive healthcare, retirement plans, generous PTO, and work-life balance support your well-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.
#LI-Hybrid
Litera is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

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