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Remote Generative Ai Engineer Jobs in Colorado (NOW HIRING)

Principal Software Engineer

Boulder, CO · On-site +1

$200K - $240K/yr

From a generative/agentic AI capabilities standpoint, we already use LLMs and agentic tooling ... For exceptional candidates we would consider remote locations in these states: AZ, CA, CO, GA, MD ...

Senior AI/ML Engineer

Denver, CO · Remote

$90 - $100/hr

Remote Reference ID: JN -052026-107129 Date Posted: 05/26/2026 Shortcut: * Description * Recommended Jobs Description: Remote Our client seeks a Senior AI/ML Engineer to design and deliver cloud ...

Senior AI/ML Engineer

Almont, CO · Remote

$90 - $100/hr

Remote Our client seeks a Senior AI/ML Engineer to design and deliver cloud-native machine learning solutions on AWS. The role includes LLM orchestration, RAG pipelines, vector database integration ...

Machine Learning Engineer

Colorado Springs, CO · On-site +1

$100K - $160K/yr

Work in Linux-based, containerized development environments using VS Code Dev Containers, Remote ... Experience with LLMs, generative AI tools, vector databases, or frameworks such as LangChain or ...

AI Automation Engineer -Remote

Greeley, CO · On-site +1

$202K - $234K/yr

About the Team and Role: We're hiring our first AI Automation Engineer to lead how we apply AI ... remote work reimbursement, paid time off, employee assistance programs, and more. Benefits are ...

AI Automation Engineer -Remote

Thornton, CO · On-site +1

$202K - $234K/yr

About the Team and Role: We're hiring our first AI Automation Engineer to lead how we apply AI ... remote work reimbursement, paid time off, employee assistance programs, and more. Benefits are ...

Denver, CO, 80202 (Remote) Lead, AI & Automation Catalyst - Application Operations Role Summary The ... Demonstrated ability to implement Generative AI, Vector Search, and AI Agents (Oracle or Google ...

About the Team and Role: We're hiring our first AI Automation Engineer to lead how we apply AI ... remote work reimbursement, paid time off, employee assistance programs, and more. Benefits are ...

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Remote Generative Ai Engineer information

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.

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

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 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 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:
Principal Software Engineer

Principal Software Engineer

Sovrn

Boulder, CO • On-site, Remote

$200K - $240K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 15 days ago


Job description

About Sovrn
Every interesting company solves important problems for other people. Sovrn is a Software and Data business that helps Open Web businesses be and remain independent. We help them understand their business better, operate more efficiently, and make & keep more money.
  • We believe in the freedom and free-flow of information.
  • We believe the Open Web is the largest source of this information.
  • We believe in helping Open Web businesses be and remain Independent.

Through Software products and Data solutions we help our customers:
  • Understand their business better, so they can make better decisions
  • Operate their business more efficiently, so they can invest in what matters most
  • Make (and Keep) more money, so they control their own destiny

About the Role
We're looking for a Principal Software Engineer with deep roots in adtech infrastructure and a genuine conviction about what AI-native engineering looks like in practice. This role is backend-focused at its core - you'll work on the systems that power our exchange, from bid request processing and traffic shaping to data pipelines and auction logic. But we're also at an inflection point in how we build software, and we want this person to help lead us through it.
From a generative/agentic AI capabilities standpoint, we already use LLMs and agentic tooling across our data stack and, we're looking for is someone who can help us take that from general adoption to intentional practice - who has strong opinions about where AI creates real leverage in a high-throughput adtech environment, and who can bring the rest of the engineering organization along with them.
Languages/components/tools in our stack: Java, Kafka (Redpanda), AWS, Databricks, Datadog, ONNX.
What you'll be doing:
  • Own the design and evolution of backend systems that operate at exchange scale - high throughput, low latency, always on
  • Lead architectural decisions across auction infrastructure, bid processing, traffic shaping, and supply-side integrations
  • Establish and champion AI engineering practices across the team - from prompt engineering and RAG patterns to agentic workflow design and LLM evaluation
  • Identify high-leverage opportunities to apply AI in our adtech stack: traffic scoring and filtering, bid shading, yield optimization, anomaly detection, and automated decisioning
  • Set standards for how we evaluate, trust, and operate AI-powered systems in production - including observability, fallback behavior, and model governance
  • Drive technical standards, design reviews, and engineering best practices across a senior team
  • Partner with product, data science, and platform teams to ship end-to-end
  • Help the broader engineering team build fluency and confidence with AI tooling, not just tolerance of it
  • Mentor and level up engineers through code review, design collaboration, and hands-on guidance

A successful candidate will have:
  • 10+ years of software engineering experience, with a strong backend track record
  • 5+ years working specifically in adtech infrastructure - SSP, DSP, exchange, or ad server environments
  • Deep fluency in the programmatic ecosystem: OpenRTB, bid request/response flows, auction mechanics, supply path optimization, or similar
  • Experience building and operating systems at exchange scale - high QPS, strict latency budgets, fault tolerance
  • Demonstrated experience leading AI or agentic engineering efforts in production environments - not just experimentation, but shipped, operated, and iterated on
  • Hands-on experience with LLM integration patterns: RAG, tool use, multi-step agentic workflows, prompt engineering, and evaluation frameworks
  • Strong distributed systems fundamentals: messaging, caching, service architecture, observability
  • Comfort driving technical decisions in ambiguous, fast-moving environments
  • A point of view on where AI is and isn't the right tool - and the credibility to make that case

Location: This position is based in our Boulder Colorado or New York City office. Applicants need to be able to commute/travel to our Boulder or New York City location. For exceptional candidates we would consider remote locations in these states: AZ, CA, CO, GA, MD, MA, MI, MO, NJ, NY, NC, OK, TX, UT, WA. #LI-Hybrid #LI-Remote
We understand that no candidate is perfectly qualified for any job. Experience comes in different forms; many skills are transferable; and passion goes a long way. Even more important than your resume is a clear demonstration of accountability and the ability to thrive in a fluid and collaborative environment. We expect you to learn new things in this role and encourage you to apply if your experience is close to what we're looking for.
Sovrn Core Values: Candid, Customer Empathy, Learning, Scrappy, Second Order Thinking
Compensation and Benefits
The base pay range for this position is $200,000 to $240,000 annually. In addition to the base salary, the total compensation package includes bonus, equity, and benefits. Actual earnings may vary depending on the candidate's direct experience, skills, industry knowledge, and location.
Sovrn offers a full slate of benefits from competitive salaries, stock options, medical, dental, and vision coverage, short and long-term disability, life insurance, 11 paid holidays, flexible vacation, commuter benefits, a 401(k) plan and match, and a paid parental leave program.
Job Posting
Applications will be accepted until July 1, 2026.
Equal Opportunity Employer
Sovrn is proud to be an Equal Opportunity Employer and provides equal employment opportunities to all employees and applicants regardless of race, color, religion, gender, gender identity, age, national origin, disability, parental or pregnancy status, marriage and civil partnership, sexual orientation, veteran status, or any other characteristic protected by law.
Recruitment Agencies
Sovrn does not accept agency resumes. Please do not forward resumes to our jobs alias or Sovrn employees. Sovrn is not responsible for any fees related to unsolicited resumes.