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Remote Ai Startup Jobs in Colorado (NOW HIRING)

... and AI into a single, governed platform. A leader in Enterprise MCP and trusted by 50% of the ... Business Insider named us an "enterprise startup to bet your career on" * Forbes' Cloud 100 ...

They are building the universal operating system for healthcare--an AI-native, event-driven ... The environment is startup-minded with CI/CD and full end-to-end ownership. Developers own setup ...

Sr. Product Manager

Denver, CO · On-site +1

$130K - $171K/yr

While we are mostly a remote company, travel is required for some team meetings and cross function ... Collaborate with AI, regulatory, and engineering teams on implementation, from design and ...

Principal Software Engineer

Broomfield, CO · On-site +1

$225K - $270K/yr

... remote with quarterly travel About FusionAuth FusionAuth is a fast-growing startup and leading ... AI agents need their own authentication and authorization. Passkeys are replacing passwords. New ...

Technical Architect

Denver, CO · Remote

$68.25 - $82.25/hr

... and AI into a single, governed platform. A leader in Enterprise MCP and trusted by 50% of the ... Business Insider named us an "enterprise startup to bet your career on" * Forbes' Cloud 100 ...

Senior Blockchain Engineer

Almont, CO · On-site +1

$157K - $178K/yr

UseBlocky combines deep technical expertise with a remote-first culture, empowering teams to ... Previous experience working in a startup or fast-paced product environment. What We Offer

Product Data Scientist

Denver, CO · On-site +1

$100K - $140K/yr

Remote USA - In Tandem Compensation: $100,000 - $140,000 / year Description At In Tandem, we build ... AI-first in how you build. Modern AI tooling - Claude Code, agent SDKs, coding agents - is part of ...

Senior DevSecOps Engineer

Denver, CO · Remote

$117K - $161K/yr

Senior DevSecOps Engineer (Remote-based role that requires US-citizenship) About us Hyperproof is ... We have a great team and culture - picture yourself in a highly collaborative startup environment ...

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Remote Ai Startup information

What are the key skills and qualifications needed to thrive at a remote AI startup, and why are they important?

To thrive at a remote AI startup, you generally need strong skills in programming (such as Python), machine learning fundamentals, and experience with data analysis, often backed by a degree in computer science or a related field. Familiarity with machine learning frameworks (like TensorFlow or PyTorch), cloud platforms (AWS, GCP), and version control systems (e.g., Git) is typically required. Excellent communication, self-motivation, and collaboration skills are crucial for navigating remote work and fast-paced startup environments. These competencies enable effective technical contributions, agile problem-solving, and seamless teamwork essential for the success of innovative AI-driven startups.

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

AspectRemote Ai StartupData Scientist
Required CredentialsDegree in Computer Science, AI, or related fields; experience with AI frameworksDegree in Statistics, Computer Science, or related fields; proficiency in data analysis tools
Work EnvironmentRemote, startup culture, collaborative teamsRemote or on-site, research-focused, cross-industry
Employer & Industry UsageAI-focused startups, tech companiesTech, finance, healthcare, and other data-driven industries
Common Search & Comparison IntentUnderstanding roles in AI startupsComparing data analysis roles with AI-focused positions

Remote Ai Startup roles typically focus on developing AI products within startup environments, requiring skills in AI frameworks and programming. Data Scientists analyze data to inform business decisions across various industries. While both roles involve data and technical skills, Remote Ai Startup positions emphasize AI development in a startup setting, whereas Data Scientists focus on data analysis across multiple sectors.

What are some unique challenges of working remotely at an AI startup, and how can I succeed in this environment?

Working remotely at an AI startup often means adapting to a fast-paced, constantly evolving environment where priorities can shift quickly. One common challenge is staying aligned with team goals and maintaining clear, proactive communication across time zones and digital platforms. Success in this setting depends on strong self-motivation, effective use of collaboration tools, and a willingness to take initiative in problem-solving. Building relationships with colleagues through regular check-ins and actively seeking feedback can also help foster a sense of connection and shared purpose, even when working from different locations.

What is a remote AI startup?

A remote AI startup is a company that develops artificial intelligence technologies or products, with employees and operations distributed across different locations rather than centralized in a physical office. These startups leverage remote work to access a global talent pool, reduce overhead costs, and provide greater flexibility for their teams. Remote AI startups often focus on building innovative solutions in areas such as machine learning, natural language processing, or computer vision, and collaborate using digital tools and communication platforms. Working remotely also allows these startups to quickly scale their teams and adapt to changing market demands.
What are the most commonly searched types of Ai Startup jobs in Colorado? The most popular types of Ai Startup jobs in Colorado are:
What cities in Colorado are hiring for Remote Ai Startup jobs? Cities in Colorado with the most Remote Ai Startup job openings:
Senior Android Engineer, MLB App Feature Teams

Senior Android Engineer, MLB App Feature Teams

Major League Baseball

Boulder, CO • Remote

Other

Life, Retirement, PTO

Posted 5 days ago


Job description

Major League Baseball is looking for a Senior Android Engineer, MLB App Feature Teams to join the team building the MLB App experiences that bring fans closer to the game, including personalized feeds, real-time scores and stats, notifications, widgets, advertising surfaces, and media experiences. You will own Android feature delivery end to end, from technical design and implementation through testing, rollout, observability, and production reliability.

This role is for an engineer who can operate independently in a large consumer app, make sound architecture decisions, raise the quality bar for the team, and use modern developer tools, including generative AI, responsibly and effectively.

Responsibilities

  • Build high-quality Android features in Kotlin and Jetpack Compose across app, media, and shared platform modules
  • Translate product requirements and Figma designs into polished, accessible, production-ready UI while maintaining cross-platform consistency with iOS
  • Design and implement clean, maintainable feature architecture that fits a modular Android codebase
  • Integrate REST and GraphQL APIs with resilient networking, thoughtful state handling, caching where appropriate, and clear failure states
  • Improve app performance, responsiveness, startup behavior, crash-free sessions, and overall reliability
  • Partner with Product, Design, iOS, Backend, QA, and Test Engineering to clarify requirements, shape technical plans, and define test coverage early
  • Monitor feature rollouts and production behavior using Firebase, Datadog, crash reporting, analytics, and release health signals
  • Own production issues from diagnosis through resolution, including root-cause analysis and follow-up prevention work
  • Drive measurable improvements in build time, delivery throughput, code quality, and engineering efficiency
  • Provide thoughtful PR reviews, mentor engineers, and help establish patterns that scale across feature teams
  • Use GenAI tools such as GitHub Copilot or similar assistants to accelerate implementation, refactoring, test generation, debugging, and documentation while retaining full engineering accountability
  • Validate AI-assisted work through tests, code review, static analysis, observability checks, and secure coding practices before merge
  • Follow internal AI usage guidance, repository conventions, data-handling expectations, and review standards

Qualifications & Skills

Required Qualifications

  • 6+ years of professional experience building production Android applications
  • Strong Kotlin, Android SDK, Jetpack Compose, coroutines, and modern Android architecture expertise
  • Experience working in modular Android codebases with shared core modules, design systems, and established architectural patterns
  • Strong REST and GraphQL integration experience, including error handling, async state management, and API contract collaboration
  • Proven testing discipline across unit, integration, snapshot, and UI testing, including experience running tests in CI
  • Experience diagnosing production issues using logs, metrics, crash reporting, analytics, and observability tools
  • Familiarity with push notifications, deep links, widgets, feature flags, experimentation, and release management
  • Strong Git workflow, code review, and written communication skills
  • Practical experience using GenAI developer tools to support software delivery, with the judgment to review, adapt, test, and explain generated code

Preferred Qualifications

  • Experience building high-traffic consumer apps with millions of users
  • Media, video streaming, sports, live events, or real-time data experience
  • Experience with Firebase, Datadog, GraphQL clients, analytics platforms, remote configuration, and experimentation frameworks
  • Experience improving app startup, rendering performance, memory usage, networking efficiency, or build performance
  • Experience in large shared repositories with many contributors and multiple release trains
  • Technical leadership experience, including mentoring, architecture reviews, and cross-team delivery
  • Familiarity with responsible GenAI practices, including prompt/context hygiene, AI-assisted test creation, and evaluation of generated code quality

Senior-Level Competencies

  • Drives ambiguous product and technical problems toward clear, shippable outcomes
  • Makes pragmatic tradeoffs across quality, speed, maintainability, performance, and user impact
  • Communicates technical decisions clearly to engineering and non-engineering partners
  • Raises team standards through code reviews, design feedback, mentoring, and documentation
  • Balances feature delivery with long-term platform health and operational reliability
  • Understands the broader codebase and internal tooling deeply enough to make changes safely across module boundaries
  • Uses metrics and production signals to guide decisions rather than relying only on intuition
  • Treats GenAI as a force multiplier, not a substitute for engineering judgment, ownership, or accountability

Salary Range: $150,000 - $185,000 (Base Salary) + Bonus

As a candidate for this position, your salary and related aspects of compensation will be contingent upon your work experience, education, skills, and any other factors MLB considers relevant to the hiring decision. In addition to your salary, MLB believes in providing a competitive compensation and benefits package for its employees.

Top MLB Perks & Benefits

  • Competitive Benefits Package
  • Company 401K Contribution
  • Paid Time Off and Holidays
  • Paid Parental Leave
  • Access to Free Tickets to Baseball Games & MLB.TV
  • Discounts at MLB Store | MLBShop.com
  • Employee Assistance Programs (EAP)
  • Onsite/Online Training & Development Programs
  • Tuition Reimbursement
  • Disability Benefits (short term and long term)
  • Life and Accidental Death Insurance
  • Pet Insurance