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Remote Ai Agent Developer Jobs in Colorado (NOW HIRING)

Gusto, Inc.

Enterprise Application AI Architect

Denver, CO · On-site +1

... Engineering, Finance, People Tech, and Operations to bridge business needs with AI driven solutions ... Hands-on knowledge of AI agent frameworks (for example LangChain, CrewAI, Semantic Kernel, MCP) and ...

Eliassen Group

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 ... The role includes LLM orchestration, RAG pipelines, vector database integration, and multi-agent ...

Gusto

Sr. Staff AI/ML Engineer

Denver, CO · On-site +1

$245K - $272K/yr

This includes developing core platform capabilities -- agent orchestration, RAG infrastructure ... remote locations, and $288,000-321,000 for San Francisco & New York. Final offer amounts are ...

DaVita, Inc.

AI Technical Sr Lead (IT)

Denver, CO · On-site +1

... and Vertex AI Agent Builder to develop sophisticated agentic AI solutions. * Integrate secure ... Proficiency in programming languages such as Python, Java, or similar. * Familiarity with CI/CD ...

Evolve Vacation Rental

AI Content Strategist

Denver, CO · On-site +1

$110K - $135K/yr

... engineering and training AI models on brand voice and style * A systems-first mindset with ... Experience with AI agent workflows or multi-agent content systems * Hospitality, travel, or ...

Gravitee

Business Development Representative

Denver, CO · On-site +1

$120/hr

Supported by our proprietary GTM Engineering engine, you'll spend less time on manual admin and more time having high-intent, human conversation about the next era of API and AI Agent management.

ServiceCore, Inc.

GTM Engineer

Denver, CO · On-site +1

$115/hr

Hands-on experience building with LLMs and AI agent frameworks * Working knowledge of AI models ... Hybrid and fully-remote work * Regular company events / outings Salary & Benefits * Base Salary ...

Invoca

Staff AI Platform Engineer

Denver, CO · Remote

You will work at the intersection of developer experience, backend systems, AI infrastructure, and ... This includes platform patterns for MCP-style interoperability, tool discovery, and agent-to-agent ...

Red Hat

Senior Software Engineer -GCP

Denver, CO · On-site +1

$126K - $166K/yr

Our team practices an agent-first development methodology where AI coding agents are a primary ... For positions with Remote-US locations, the actual salary range for the position may differ based ...

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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:
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Remote Ai Agent Developer jobs near you
AI/ML Engineer

AI/ML Engineer

Frontier Technology Inc.

Colorado Springs, CO • Remote

$144K - $246K/yr

Full-time

Posted 10 days ago

Job description

Overview

FTI Defense is seeking a hands-on AI/ML Engineer to design, build, and deploy advanced machine learning solutions supporting defense and national security missions. This role focuses on execution in oversight, ideal for an engineer who thrives in the code, enjoys building end-to-end pipelines, and takes pride in seeing their work directly impact operational systems.

FTI Defense delivers mission-focused solutions to the Department of Defense/Depratment of War (DoD/DoW) and Intelligence Community (IC) through advanced engineering, digital transformation, and program execution expertise. We help our customers solve complex challenges and achieve mission success by integrating people, process, and technology.

Responsibilities
  • Design, develop, and deploy AI/ML models and pipelines that meet mission and performance objectives.
  • Build, train, and fine-tune models using frameworks such as PyTorch, TensorFlow, scikit-learn, Hugging Face, and LangChain.
  • Develop and operationalize MLOps pipelines (MLflow, Kubeflow, DVC, or custom training/inference orchestration).
  • Implement and optimize vector databases (Milvus, Pinecone, Chroma, FAISS) and retrieval architectures (RAG, graph, hybrid).
  • Write clean, efficient Python code for data ingestion, feature engineering, embeddings, and inference services.
  • Experiment with fine-tuning and optimization of LLMs and task-specific models (LoRA, QLoRA, PEFT).
  • Contribute to agent-based applications using frameworks like LangGraph, AutoGen, CrewAI, or DSPy.
  • Integrate AI services into real-world systems via APIs, event-driven workflows, or UI copilots.
  • Collaborate with data engineers, software developers, and mission analysts to ensure AI models are production-ready and aligned with customer needs.
  • Participate in peer reviews, contribute to shared repositories, and document models and experiments for reproducibility.
Education/Qualifications

Minimum Requirements:

  • Must be a U.S. citizen and be willing to obtain and maintain a security clearance, as needed.
  • 6-10+ years of professional experience developing and deploying AI/ML solutions in production environments.
  • Minimum of 3 years' professional experience within the Department of Defense/Department of War (DoD/DoW) AI assurance, security, and deployment environments.
  • Strong Python development skills with hands-on experience building AI/ML solutions.
  • Direct experience with ML frameworks such as PyTorch, TensorFlow, scikit-learn, Hugging Face, or LangChain.
  • Proven ability to build and deploy MLOps pipelines using MLflow, Kubeflow, DVC, or equivalent.
  • Working knowledge of vector databases (Milvus, Pinecone, Chroma, FAISS) and retrieval-based architectures (RAG, hybrid, graph).
  • Professional experience fine-tuning and evaluating LLMs or smaller task-specific models using LoRA, QLoRA, or PEFT.
  • Professional experience integrating AI capabilities into production systems or mission applications.

 Preferred Qualifications:

  • Familiarity with agentic frameworks (LangGraph, AutoGen, CrewAI, DSPy) and multi-agent reasoning.
  • Understanding of prompt engineering, retrieval quality, and grounding methods.
  • Exposure to GPU-based or edge inference environments.
  • Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related technical field.
  • Active Secret clearance preferred; ability to obtain one is required.

For this role, the compensation range for candidates is $144k-$246k. *Note: Starting pay will be based on a number of factors and commensurate with qualifications & experience. FTI has a location-based compensation structure; there may be a different range for candidates in other locations.

#LI-KM1

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Employment Type: FULL_TIME

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