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Remote Ai Agent Developer Jobs in Colorado (NOW HIRING)

AI Automation Engineer -Remote

Greeley, CO ยท 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 ยท 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

Colorado Springs, CO ยท 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

Denver, CO ยท 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

Fort Collins, CO ยท 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

Aurora, CO ยท 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 ...

Design codebases to be agent-friendly , with clear conventions, strong automated test coverage, and ... Mentor and coach engineers on AI-native development practices, raising the velocity and quality of ...

Design codebases to be agent-friendly , with clear conventions, strong automated test coverage, and ... Mentor and coach engineers on AI-native development practices, raising the velocity and quality of ...

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Showing results 1-20

Remote Ai Agent Developer information

What is the difference between Remote Ai Agent Developer vs Remote Chatbot Developer?

AspectRemote Ai Agent DeveloperRemote Chatbot Developer
Required SkillsAI, machine learning, NLP, programmingChatbot platforms, scripting, UI design
Work EnvironmentAI development teams, tech companiesCustomer service, tech firms, startups
Industry UsageAI-driven virtual assistants, complex AI systemsCustomer support bots, simple conversational interfaces

Remote Ai Agent Developers focus on creating advanced AI-powered virtual assistants using machine learning and NLP, often working on complex AI systems. In contrast, Remote Chatbot Developers typically build conversational interfaces for customer support or marketing, emphasizing scripting and UI design. While both roles involve AI and programming, the scope and complexity differ, with Ai Agent Developers working on more sophisticated AI solutions.

What are Remote AI Agent Developers?

Remote AI Agent Developers are software professionals who design, build, and maintain artificial intelligence agents while working from a remote location. These developers use programming languages, machine learning frameworks, and AI technologies to create systems that can perform tasks autonomously or assist users. Their work may include developing chatbots, virtual assistants, recommendation engines, or other intelligent systems. Working remotely allows them to collaborate with teams and clients worldwide, often using cloud-based tools and platforms.

What are some common challenges faced by Remote AI Agent Developers, and how can they be addressed?

Remote AI Agent Developers often encounter challenges such as coordinating across different time zones, ensuring smooth communication with distributed teams, and managing project dependencies asynchronously. To address these, it's important to use collaborative tools (like Slack, GitHub, or Jira), schedule regular check-ins, and document development processes thoroughly. Building strong relationships through proactive communication and adopting agile practices can also help streamline workflows and maintain productivity in a remote setting.

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

To thrive as a Remote AI Agent Developer, you need a strong background in computer science, machine learning, and programming languages such as Python, along with experience in developing and deploying AI models. Proficiency with AI frameworks like TensorFlow or PyTorch, cloud platforms (AWS, Azure, GCP), and familiarity with version control systems is typically required. Exceptional problem-solving skills, self-motivation, and effective remote communication help you collaborate and deliver results in distributed teams. These skills ensure the successful creation, deployment, and maintenance of intelligent agents that meet organizational goals in a remote work environment.
What are the most commonly searched types of Ai Agent Developer jobs in Colorado? The most popular types of Ai Agent Developer jobs in Colorado are:
What are popular job titles related to Remote Ai Agent Developer jobs in Colorado? For Remote Ai Agent Developer jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Remote Ai Agent Developer jobs in Colorado look for? The top searched job categories for Remote Ai Agent Developer jobs in Colorado are:
What cities in Colorado are hiring for Remote Ai Agent Developer jobs? Cities in Colorado with the most Remote Ai Agent Developer job openings:
Associate Software Engineer (Open3D) - Remote

Associate Software Engineer (Open3D) - Remote

micro1 AI

Colorado Springs, CO โ€ข Remote

$20 - $120/hr

Part-time

Posted 14 days ago


Job description

Job Title: Junior Software Engineer (Open 3D Engine)


Job Type: Contractor


Location: Remote


Job Summary: Join our client's team as a Junior Software Engineer (Open 3D Engine) and play a pivotal role in training next-generation AI systems for 3D environments. You will leverage your O3DE expertise, spanning the Component Entity System, Atom Renderer, and physics simulations, to generate high quality, synthetic data, enabling AI models to learn, reason, and construct high performance, AAA quality digital worlds.


Key Responsibilities:

  1. Design, develop, and implement interactive 3D scenes and simulations using Open 3D Engine (O3DE) for AI training purposes.
  2. Leverage the full suite of O3DE toolsโ€”including Atom Renderer, Component Entity System, Gems, and Asset Processorโ€”to create high-fidelity, effective environments.
  3. Collaborate with the customerโ€™s team to transform conceptual ideas into finished AI training workflows and simulations.
  4. Integrate Python and C++ scripts for enhanced functionality and automation within O3DE projects.
  5. Utilize AWS services to support robust, scalable 3D simulation deployment and asset management.
  6. Document processes and communicate progress clearly through strong written and verbal updates.
  7. Troubleshoot and optimize simulation performance, ensuring accuracy and efficiency for AI training objectives.


Required Skills and Qualifications:

  1. Hands-on experience with O3DE (Open 3D Engine), including a deep understanding of core tools and asset workflows.
  2. Proficiency in Python and C++ for 3D scene development and automation.
  3. Experience building interactive 3D environments from concept to completion, tailored for simulation and AI training.
  4. Familiarity with Atom Renderer, Component Entity System, Gems, and Asset Processor within O3DE.
  5. Strong written and verbal communication skills, with the ability to clearly document and present technical concepts.
  6. Basic knowledge of AWS infrastructure and its application for cloud-based development and deployment.
  7. Background in game development, simulation, or real-time graphics projects.


Preferred Qualifications:

  1. Previous experience working directly on AI training or simulation projects within O3DE.
  2. Exposure to asset management pipelines and collaborative development environments.
  3. Demonstrated initiative in adopting new O3DE tools and staying current with engine updates.