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Ai Coder Jobs in Colorado (NOW HIRING)

AI Native Software Engineer

Westminster, CO

$144K - $198K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

This isn't just a coding job; it is an opportunity to act as a Technical Founder within a ... Drive agentic orchestration by utilizing AI coding agents to accelerate delivery by 30-40 ...

AI Native Software Engineer

Westminster, CO · On-site

$144K - $198K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

This isn't just a coding job; it is an opportunity to act as a Technical Founder within a ... Drive agentic orchestration by utilizing AI coding agents to accelerate delivery by 30-40 ...

Product Engineer (AI Agent Management)

Denver, CO · On-site +1

$188K/yr

  • Medical

  • Retirement

You'll work close to customers and close to the code, owning a slice of the Agent Gateway or LLM ... Use AI-assisted development tools as a core part of your workflow to move faster from idea to ...

Company Description Code Talent is a technical agency that is driven by the desire to foster ... We are seeking a visionary Director of AI & ML to lead our talented team in developing ...

Company Description Code Talent is a technical agency that is driven by the desire to foster ... We are seeking a visionary Director of AI & ML to lead our talented team in developing ...

Senior AI Engineer

Boulder, CO · On-site +1

$108K - $148K/yr

You will also be partnering with our product team to build AI solutions that will empower external customers and internal engineers to use agentic coding tools to customize Campminder products. This ...

Senior AI Engineer

Boulder, CO · On-site +1

$108K - $148K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

You will also be partnering with our product team to build AI solutions that will empower external customers and internal engineers to use agentic coding tools to customize Campminder products. This ...

Design, build, and deploy internal AI-enabled solutions using enterprise platforms such as Claude Code, Glean, retrieval-based systems, agentic workflows, and orchestration frameworks. * Create ...

AI Enablement Consultant

Denver, CO · On-site +1

$120K - $140K/yr

As an AI Enablement Consultant, you are a hands-on partner to our business teams, understanding how ... Create custom agents, enterprise skills, and prompt workflows (no-code/low-code) that solve real ...

AI Engineering Leader

Denver, CO · On-site

$200K - $300K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Know when to write the code yourself and when your highest-leverage move is unblocking someone else Build and Operate Production AI Systems * Oversee the design and operation of LLM-powered features ...

AI Engineering Leader

Denver, CO · On-site

$200K - $300K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Know when to write the code yourself and when your highest-leverage move is unblocking someone else Build and Operate Production AI Systems * Oversee the design and operation of LLM-powered features ...

This is not a role for someone who has stepped fully away from the code. You are an active ... What You'll Do Lead a High-Performing AI Engineering Team * Manage, mentor, and grow a team of 4-8 ...

This is not a role for someone who has stepped fully away from the code. You are an active ... What You'll Do Lead a High-Performing AI Engineering Team * Manage, mentor, and grow a team of 4-8 ...

Showing results 41-60

Ai Coder information

See Colorado salary details

$16

$28

$45

How much do ai coder jobs pay per hour?

As of Aug 17, 2026, the average hourly pay for ai coder in Colorado is $28.91, according to ZipRecruiter salary data. Most workers in this role earn between $19.95 and $36.39 per hour, depending on experience, location, and employer.

What is an AI coder?

AI Coders are professionals who develop, implement, and maintain artificial intelligence (AI) systems and applications. They use programming languages such as Python, Java, and R to write code that enables machines to perform tasks that typically require human intelligence, such as learning, reasoning, and problem-solving. AI Coders often work with machine learning models, neural networks, and large datasets to create intelligent solutions for various industries. Their work can range from building chatbots and recommendation systems to designing complex algorithms for automation.

What types of projects do AI coders typically work on, and how does project collaboration usually happen?

AI Coders are often involved in developing machine learning models, creating data pipelines, and integrating AI solutions into existing products. Collaboration is a key part of the role, with AI Coders working closely with data scientists, software engineers, and product managers to translate business needs into technical solutions. Most teams use agile methodologies, daily stand-ups, and collaborative platforms like GitHub or Jira to coordinate tasks and track progress. This structure ensures that AI Coders receive frequent feedback and can contribute ideas throughout the development cycle.

What are the key skills and qualifications needed to thrive as an AI coder, and why are they important?

To thrive as an AI Coder, you need strong programming skills (especially in Python), a solid understanding of machine learning concepts, and typically a degree in computer science or a related field. Familiarity with AI frameworks like TensorFlow or PyTorch, as well as experience with version control systems such as Git, is essential. Strong problem-solving abilities, attention to detail, and effective communication help you collaborate with teams and explain complex solutions. These skills and qualities are crucial for developing, optimizing, and maintaining reliable AI models that address real-world challenges.

What is the difference between Ai Coder vs Data Scientist?

AspectAi CoderData Scientist
Required CredentialsProgramming skills, knowledge of AI frameworks, certifications in AI/MLStatistics, programming, data analysis certifications
Work EnvironmentSoftware development teams, AI research labsData analysis teams, research environments
Employer & Industry UsageTech companies, AI startups, R&D departmentsFinance, healthcare, marketing, tech firms

While both roles involve working with data and algorithms, Ai Coders primarily focus on developing AI models and coding AI solutions, whereas Data Scientists analyze data to extract insights and inform business decisions. Ai Coders are more involved in software development, while Data Scientists emphasize statistical analysis and data interpretation.

What are popular job titles related to Ai Coder jobs in Colorado?

For Ai Coder jobs in Colorado, the most frequently searched job titles are:

What cities in Colorado are hiring for Ai Coder jobs?

Cities in Colorado with the most Ai Coder job openings:

Infographic showing various Ai Coder job openings in Colorado as of August 2026, with employment types broken down into 76% Full Time, 21% Part Time, and 3% Contract. Highlights an 67% Physical, 3% Hybrid, and 30% Remote job distribution, with an average salary of $60,128 per year, or $28.9 per hour.

Bioinformatics Research Scientist - AI Reviewer

micro1 AI

Arvada, CO • Remote

$80 - $110/hr

Part-time

Posted 14 days ago


Job description

Role Title: Computational Biology & Cheminformatics Expert


Role Type: Contractor


Location: Remote


micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their expertise to a customer’s computational drug discovery project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Analyze and interpret small-molecule and drug discovery datasets using advanced computational biology, bioinformatics, and cheminformatics methods.
  2. Curate, annotate, and validate chemical and biological datasets (e.g., ChEMBL, PubChem, DrugBank) to support AI-driven discovery platforms.
  3. Evaluate compound-target interactions, ADMET properties, and lead optimization strategies by integrating chemical, biological, and clinical data sources.
  4. Provide expert insights on structure-activity and structure-property relationships (SAR/SPR), medicinal chemistry approaches, and experimental design considerations.
  5. Build and implement code-based benchmark tasks (e.g., terminal/CLI-based environments) that reflect realistic computational drug discovery scenarios.
  6. Develop reproducible environments (e.g., using Docker) and automated testing pipelines to ensure task correctness and solvability.
  7. Assess and review AI-generated outputs for scientific rigor, accuracy, and practical relevance, delivering detailed written feedback and recommendations.


Preferred Qualifications

  1. Advanced expertise in Computational Biology, Cheminformatics, Medicinal Chemistry, Biochemistry, or related fields; advanced degree (PhD, MSc, PharmD) highly valued but not strictly required.
  2. Strong coding proficiency in Python (beyond analysis scripts), with hands-on experience building tools, pipelines, or testable code; familiarity with Git, GitHub, and Docker.
  3. Extensive experience with cheminformatics toolkits and platforms such as RDKit, KNIME, Schrödinger, OpenEye, or MOE.
  4. Proven track record in small-molecule drug discovery, SAR/QSAR evaluation, ADMET prediction, or virtual screening workflows.
  5. Comfort working with public chemical and bioactivity databases and integrating diverse datasets for scientific analysis.
  6. Demonstrated ability to clearly communicate complex chemical and biological concepts in written feedback and reports.
  7. Experience participating in multidisciplinary and/or remote projects; familiarity with AI-assisted coding tools is a plus.