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Remote Python Ai Jobs in Denver, CO (NOW HIRING)

This is a remote role that is part of the Finance department and reports to the Director of Data ... Review and harden AI-generated SQL, dbt models, and Python code with the judgment to catch issues ...

This is a remote role that is part of the Finance department and reports to the Director of Data ... Review and harden AI-generated SQL, dbt models, and Python code with the judgment to catch issues ...

Denver, CO, 80202 (Remote) Lead, AI & Automation Catalyst - Application Operations Role Summary The ... Must be highly functional in SQL, Python, and Scripting; able to "dig into" issues and build the ...

... AI & Platform Architecture that is fully remote. Why This Role Exists We operate a large-scale ... Python, Java (Spring Boot), and TypeScript/React ecosystems * Experience navigating both modern ...

The Role AI is rewriting the rules of business, and Gravitee is at the center of that ... Some scripting experience, ideally with Java or JavaScript/Python * Ability to design deployment ...

Posting Type Remote/Hybrid Job Overview WHO WE ARE Relativity is a leading legal data intelligence ... Our AI-powered, cloud platform, RelativityOne, transforms massive volumes of complex information ...

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Remote Python Ai information

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How much do remote python ai jobs pay per hour?

As of Jun 14, 2026, the average hourly pay for remote python ai in Denver, CO is $60.34, according to ZipRecruiter salary data. Most workers in this role earn between $49.71 and $68.56 per hour, depending on experience, location, and employer.

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

To thrive as a Remote Python AI Developer, you need strong programming skills in Python, a solid understanding of machine learning concepts, and typically a degree in computer science or a related field. Familiarity with frameworks like TensorFlow or PyTorch, experience with cloud platforms (e.g., AWS, Azure), and relevant certifications such as TensorFlow Developer are highly valued. Exceptional problem-solving abilities, self-motivation, and effective remote communication skills help set professionals apart in this distributed role. These capabilities are critical for developing robust AI solutions, collaborating across virtual teams, and delivering impactful results in a rapidly evolving field.

What are Remote Python AI jobs?

Remote Python AI jobs are positions that involve developing, implementing, or maintaining artificial intelligence solutions using the Python programming language, all while working from a remote location. These roles can include tasks such as building machine learning models, automating data analysis, and deploying AI-powered applications. Professionals in these jobs collaborate with teams online, use cloud-based tools, and contribute to a variety of industries such as tech, finance, healthcare, and more. Python is a popular choice for AI due to its simplicity and the availability of powerful libraries like TensorFlow, PyTorch, and scikit-learn.

What is the difference between Remote Python Ai vs Data Scientist?

AspectRemote Python AiData Scientist
Required CredentialsPython programming, AI/ML knowledge, possibly certifications in AI or data analysisStatistics, programming, data analysis, often a master's degree or higher
Work EnvironmentRemote, tech companies, AI-focused teamsRemote or on-site, diverse industries including tech, finance, healthcare
Employer & Industry UsageTech startups, AI firms, software companiesVarious sectors like finance, healthcare, marketing, tech
Search & Comparison IntentFocus on AI development using PythonData analysis, insights, statistical modeling

Remote Python Ai roles primarily focus on developing AI models and applications using Python, often within tech or AI companies. Data Scientists analyze data to extract insights, requiring broader statistical skills. While both roles may involve Python, Remote Python Ai emphasizes AI/ML development, whereas Data Scientists focus on data analysis and interpretation.

How is collaboration typically structured in a remote Python AI role, and what tools are commonly used to facilitate teamwork?

In a remote Python AI role, collaboration is often structured through regular virtual meetings, code reviews, and the use of collaborative platforms. Teams typically use version control systems like GitHub or GitLab for code sharing, and platforms such as Slack or Microsoft Teams for daily communication. Project management tools like Jira or Trello help organize tasks and track progress, while video calls via Zoom or Google Meet are used for team discussions and brainstorming sessions. This structure ensures that even in a distributed setting, team members can efficiently work together, share insights, and resolve challenges.
What are the most commonly searched types of Python Ai jobs in Denver, CO? The most popular types of Python Ai jobs in Denver, CO are:
What cities near Denver, CO are hiring for Remote Python Ai jobs? Cities near Denver, CO with the most Remote Python Ai job openings:

Senior Engineer - Developer Experience Team

Magnite

Broomfield, CO • On-site, Remote

$123K - $162K/yr

Full-time

Medical, Life, Retirement

Posted 17 days ago


Job description

Senior Engineer

Developer Experience (DX) Team

New York City, NY

Boston, MA

Broomfield, CO

Hybrid Schedule (M/F remote, T/W/TH in-office)

East Coast - Remote

At Magnite, we cultivate an environment of continuous growth and collaboration. Our work impacts what millions of people read, watch, and buy, and we're looking for people to help us tackle that responsibility with creativity and focus. Magnite (NASDAQ: MGNI) is the world's largest independent sell-side advertising platform. Publishers use our technology to monetize their content across all screens and formats including CTV / streaming, online video, display, and audio. Our tech fuels billions of transactions per day!

About this team:

We're the Developer Experience (DX) team at Magnite. Our mission is to make engineers faster, safer, and happier shipping production software by improving the tools, platforms, workflows, and shared engineering capabilities used across the company. The team reduces friction in both the inner loop of development-build, test, run, debug, including CI/CD, releases, observability, reliability, and engineering standards. We build shared platforms, reusable tooling, paved paths, and reference implementations that help teams move faster with less bespoke plumbing and higher confidence.

In this role you will:

Join the Developer Experience (DX) team as a Senior Engineer. This leverage role is for an engineer passionate about multiplying the effectiveness of others through improved tooling, automation, libraries, and workflows.

You will design and build shared engineering capabilities used across Magnite, with a strong focus on AI-enabled development, platform tooling, and developer productivity. Comfort working with Java, Python and Typescript. Rust knowledge is a strong plus. You must bring hands-on experience with modern AI providers and engineering tools such as Cursor, Claude, Codex, and related ecosystems.

You will partner with engineering teams and leadership to identify high-friction workflows, build scalable solutions, and drive adoption through clear documentation and enablement. This is not a feature-delivery role for a single product team; it is a leverage role focused on improving how engineering gets done across the organization.

Developer Platform & Tooling

  • Design, build, and maintain shared developer tooling and platform capabilities that improve engineering productivity across teams.

  • Collaborate with SRE and engineering teams to design and deliver reusable solutions for common development needs, including service scaffolding, local development workflows, CI/CD patterns, automation, and release tooling.

  • Improve the developer experience across the software lifecycle, from code authoring and testing through deployment and supportability.

AI-Enabled Engineering

  • Evaluate, integrate, and operationalize AI tools and workflows-using various providers, APIs, SDKs, third party solutions, and agent-style tools-to improve engineering output, quality, knowledge access, and delivery speed.

  • Identify and build high-value use cases for AI in software development, such as code generation, code review assistance, documentation, migration support, and internal developer assistants.

  • Help define safe, effective patterns for adopting AI in day-to-day engineering work.

Shared Engineering Capabilities

  • Build and evolve shared libraries, utilities, reference implementations, and templates (e.g., for configuration, logging, telemetry, resilience, and engineering standards) to reduce duplicated effort across teams.

  • Design solutions that are maintainable, observable, secure, and easy for partner teams to adopt.

Standards, Enablement, and Adoption

  • Partner with engineering teams to understand friction points and translate them into scalable solutions.

  • Produce high-quality documentation, examples, migration guides, and adoption playbooks that enable self-service.

  • Support adoption through design collaboration, pairing, and time-boxed engagements where needed.

  • Promote standards through useful paved roads and working solutions, minimizing process overhead or gatekeeping.

Quality, Reliability, and Measurement

  • Ensure DX-owned tooling and shared components are reliable, secure, observable, and well supported.

  • Use data to measure impact, including build/test performance, adoption, reliability, and engineering satisfaction.

  • Continuously improve solutions based on developer feedback, operational signals, and usage patterns.

We're looking for someone with:

  • 4+ years of professional software engineering experience and a strong track record of building production-grade systems, tooling, or shared platforms.

  • Strong proficiency in Java and Python, including writing clean, maintainable, well-tested code and designing reusable abstractions.

  • Hands-on experience building developer tooling, internal platforms, shared libraries, automation, or productivity-focused engineering solutions.

  • Strong practical experience with modern AI providers, models, and APIs (e.g., Cursor, Claude, Codex). Must demonstrate experience translating AI capabilities into concrete engineering outcomes, such as developer workflows, assistants, automation, or knowledge-enabled tooling.

  • Strong software design and systems thinking, with the ability to balance flexibility, standardization, usability, and long-term maintainability.

  • Experience with CI/CD systems, build tooling, developer workflows, and release automation.

  • Familiarity with observability practices, including logs, metrics, tracing, and operational readiness.

  • Strong communication and collaboration skills, with the ability to work across teams and influence through clarity, practicality, and technical credibility.

In NY, MA, and the East Coast, the base salary range for this role is $155,000 - $165,000.

In CO, the base salary range for this role is $140,000 - $150,000.


Actual compensation will be determined based on location, experience, skills, and internal equity.

This role is also eligible for:

  • Annual performance-based bonus

  • Equity (NASDAQ: MGNI)

  • Comprehensive benefits package

During the interview process, candidates will receive more specific information about the salary range applicable to their experience and location.

Perks and Benefits:

  • Comprehensive Healthcare Coverage from Day One

  • Generous Time Off

  • Holiday Breaks and Quarterly Wellness Days

  • Equity and Employee Stock Purchase Plan

  • Family-Focused Benefits and Parental Leave

  • 401k Retirement Savings Plan with Employer Match

  • Disability and Life Insurance

  • Cell Phone Subsidy

  • Monthly Fitness and Reimbursement

Career Growth:

We support internal mobility, skill development, and leadership pathways through structured career frameworks and learning programs.

Company Culture:

Magnite's culture is rooted in collaboration and connection, recognizing that both are essential to success. Our hybrid schedule includes two remote workdays (Monday and Friday) and three in-office days (Tuesday through Thursday), where employees can take advantage of catered lunches, beverages, snacks, training opportunities, and engaging office events that enhance the work experience. In addition, we support our team through meaningful benefits and programs, including community service and volunteer opportunities, company-matched charitable contributions, access to mental health resources, structured career development initiatives and growth frameworks, culture and inclusion programs, and our Bonusly peer-to-peer recognition platform.

About Us

The world's leading agencies and brands trust our platform to access brand-safe, high-quality ad inventory and execute billions of advertising transactions each month. Anchored in bustling New York City, sunny Los Angeles, mile-high Denver, historic London, and down under in Sydney, Magnite has offices across North America, EMEA, LATAM, and APAC.

Magnite is an Equal Opportunity Employer and does not discriminate against applicants due to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, sexual orientation or any other federal, state or local protected class.

Our Commitment: We aim to incorporate a wide range of voices into our Magnite culture, cultivating an environment where employees feel welcomed, cared for, and encouraged to freely share ideas. We are committed to employee growth, collaboration, inclusion, and innovation. We invest in Magnite's local communities. We seek talent from all backgrounds to champion corporate values of seeing the big picture and being catalysts of change.

Want to learn more about us?

Check out our blog for Magnite announcements and Ad Tech industry news!

Recruiting Agency Notice

Magnite does not accept agency resumes and is not responsible for any fees related to unsolicited resumes.