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Remote Generative Ai Engineer Jobs in Colorado (NOW HIRING)

AI Developer/Engineer

Denver, CO · On-site +1

$111K - $145K/yr

... Engineer. Connect for Health Colorado is a public, non-profit entity established by the Colorado ... Hands-on experience with AI/ML or generative AI (LLMs, embeddings, RAG) through professional work ...

AI Engineer

Denver, CO · On-site +1

$100K - $135K/yr

AI Engineer Department: Data Engineering Employment Type: Permanent - Full Time Location ... Remote USA - In Tandem Compensation: $100,000 - $135,000 / year Description At In Tandem, we build ...

Generative AI Analyst - Spanish (US) * Location: Fully remote in United States with complete schedule flexibility  * Employment Type: Freelance * Pay Rate: 15 USD/per hour

Remote Description **SKILLBRIDGE to FULL-TIME EMPLOYMENT** Ready to shape the future of AI ... generative AI-enabling federal agencies, defense organizations, and public sector partners to ...

The Generative AI Innovation team is transforming the way Litera and its clients leverage their data for competitive advantage. As a Software Engineer on this team, you will lead one or more teams ...

Senior Software Engineer (Remote)

Denver, CO · Remote

$126K - $166K/yr

This is a remote role anywhere in the USA. Meet the Team Our software engineering team develops ... Ability to use AI/ML or generative AI to solve security problems, such as automated threat ...

Senior Software Engineer (Remote)

Boulder, CO · Remote

$127K - $167K/yr

This is a remote role anywhere in the USA. Meet the Team Our software engineering team develops ... Ability to use AI/ML or generative AI to solve security problems, such as automated threat ...

... generative AI-enabling federal agencies, defense organizations, and public sector partners to ... Align engineering, product, and go-to-market teams to deliver solutions that meet public sector ...

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Remote Generative Ai Engineer information

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 key skills and qualifications needed to thrive as a remote generative AI engineer?

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 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.

How much does a remote generative AI engineer make?

A remote generative AI engineer typically earns between $100,000 and $160,000 annually, depending on experience, skills, and the company's location. Senior roles or those with specialized expertise in machine learning and deep learning can command higher salaries, especially with proficiency in tools like TensorFlow or PyTorch.

What are the best remote generative AI engineer jobs?

Remote generative AI engineer jobs are available across technology companies, research institutions, and startups, often requiring skills in machine learning frameworks like TensorFlow or PyTorch and experience with natural language processing or computer vision. These roles typically involve developing and deploying AI models remotely, with some positions offering flexible schedules and requiring certifications or advanced degrees in computer science or related fields.

What is the average salary of a remote generative AI engineer?

The average salary for a remote generative AI engineer typically ranges from $100,000 to $150,000 annually, depending on experience, skills in machine learning frameworks, and the complexity of projects. Senior roles or those with specialized expertise in deep learning and large language models can earn higher compensation. Remote positions often offer competitive pay comparable to on-site roles in the tech industry.

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:

What job categories do people searching Remote Generative Ai Engineer jobs in Colorado look for?

The top searched job categories for Remote Generative Ai Engineer jobs in Colorado are:

What cities in Colorado are hiring for Remote Generative Ai Engineer jobs?

Cities in Colorado with the most Remote Generative Ai Engineer job openings:

Infographic showing various Remote Generative Ai Engineer job openings in Colorado as of August 2026, with employment types broken down into 78% Full Time, 19% Part Time, 1% Temporary, and 2% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution.

AI Developer/Engineer

Connect for Health Colorado

Denver, CO • On-site, Remote

$111K - $145K/yr

Full-time

Medical, Life, Retirement, PTO

Re-posted yesterday


Job description

Description

Connect for Health has a great opportunity for an AI Developer/Engineer.


Connect for Health Colorado is a public, non-profit entity established by the Colorado General Assembly in 2011 to create a health insurance Marketplace. Since 2013, we've been helping individuals, families, and small employers compare plans, apply for financial help, and buy health insurance. As Colorado's official health insurance marketplace, we are the only place to apply for financial help to lower the monthly cost of premiums. Customers can shop online; get help by phone or online chat from Customer Service Center representatives; and access expert help from a statewide network of certified Brokers and community-based Assisters. Our mission is to increase access, affordability, and choice for individuals and small employers purchasing health insurance in Colorado. For more information: ConnectforHealthCO.com


Position Summary: 


As a member of the Architecture team, the AI Developer/Engineer supports the Senior AI Developer/Engineer and partners with cross-functional teams to design, develop, and enhance AI and machine learning capabilities that improve internal operations and staff productivity. This role focuses on delivering incremental improvements, prototypes, and staff-facing tools (including Streamlit-based applications), implementing retrieval-augmented generation (RAG) patterns, and integrating solutions with AWS services, Amazon Q (as applicable), and Snowflake (including Cortex where appropriate). The AI Developer/Engineer contributes to secure, responsible, and maintainable AI-enabled applications through documentation, testing, monitoring, and continuous optimization.


Position Responsibilities:

  • Support the Senior AI Developer/Engineer and CIO-sponsored initiatives by delivering enhancements, prototypes, and internal tools that improve staff efficiency and consumer support.
  • Collaborate with business owners and technical teams to gather requirements, document user stories/acceptance criteria, and translate needs into implementable AI/ML solutions.
  • Develop and enhance internal AI-enabled applications and demos using Streamlit and related web frameworks for knowledge assistance, workflow automation, and analytics.
  • Implement and maintain retrieval-augmented generation (RAG) solutions, including document ingestion, chunking, embeddings, vector search, and prompt orchestration.
  • Integrate AI applications with AWS services and data platforms, including Amazon Aurora/RDS PostgreSQL, S3, and approved AI services; follow security and access control standards.
  • Use Snowflake (including Snowflake Cortex where appropriate) to support AI/ML workloads, data preparation, and secure data access patterns.
  • Leverage Amazon Q (as applicable) and related enterprise assistant patterns to support internal users and knowledge discovery.
  • Contribute to semantic/domain models (taxonomies, metadata, reference data) that improve retrieval quality and reporting.
  • Write clean, testable Java code; build APIs/services; and contribute to CI/CD pipelines and automated testing.
  • Monitor AI application performance (quality, latency, cost) and assist with troubleshooting, incident response, and continuous improvement.
  • Ensure responsible AI practices: privacy, PII/PHI handling, bias awareness, auditability, and documentation; follow SOPs and security policies.
  • Participate in IT operations activities (standups, change management, documentation, knowledge transfer) and support end users with training and adoption.

Requirements

  • Colorado resident.
  • 3+ years of software engineering or data engineering experience, including building production Java applications.
  • Hands-on experience with AI/ML or generative AI (LLMs, embeddings, RAG) through professional work, projects, or equivalent experience.
  • Experience building lightweight web apps or APIs using Streamlit, FastAPI/Flask, or similar frameworks.
  • Working knowledge of AWS (IAM, S3, logging/monitoring, and common deployment patterns); experience with PostgreSQL/Aurora/RDS preferred.
  • Experience with SQL and data platforms; familiarity with Snowflake and Snowflake Cortex is a plus.
  • Familiarity with version control (Git), CI/CD, and automated testing practices.
  • Understanding of secure software development and handling sensitive data; ability to follow organizational security/privacy requirements.
  • Strong communication skills and ability to work with stakeholders to refine requirements and support user adoption; bachelor's degree (or equivalent experience) preferred.

Work Environment:

  • Currently working remotely.
  • The Connect for Health Colorado office is in the North Tech Center area of Denver, near the intersection of I-25 and I-225.
  • Work schedule may include some non-traditional hours, weekends, and evening events.
  • Core office hours are typically 8 am-5 pm with some flexibility.

Total Compensation:


Connect for Health Colorado offers a competitive benefits package.  Employees are offered a robust benefits package and may elect from various offerings to tailor a package best suited to their individual needs. Connect for Health Colorado employees are eligible to participate in the organization's 403(b) plan and are additionally provided with paid time off, short-term and long-term disability, and life insurance.  The salary range for this position is $111,240 - $145,230 yearly.


To Apply: 


Please apply on our Career page at https://connectforhealthco.com/about-us/employment/.


Connect for Health Colorado is an equal opportunity employer (EOE). Connect for Health Colorado may, at its discretion, conduct a background check on any workforce member and/or require job candidates to successfully complete a background check as a condition of employment.

Application Deadline: This will be posted for a minimum of 30 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants. *Post date: 03/27/2026