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Claude Jobs in Colorado (NOW HIRING)

DSC Resources

Senior Claude Software Engineer

Denver, CO · Remote

$128K - $152K/yr

Must have Claude and Java experience ** We are seeking a Senior Software Engineer to join our Enterprise Integration team -- a cloud-native team building APIs and microservices that connect health ...

Egroup Us

Engineering Developer

Highlands Ranch, CO · On-site

$90 - $120/hr

Leverage AI coding assistants and agentic tools (e.g., Anthropic Claude / Claude Code) to accelerate development, while rigorously reviewing, testing, and verifying all AI-generated code before it ...

eTeam

Generative AI Developer

Denver, CO · On-site

Responsibilities : • Strong Python development • FastAPI • ML libraries • ML frameworks • PyTorch • TensorFlow • Scikitlearn • GenAI stack • OpenAI • Claude • LLaMA • Hugging ...

Kiewit Corporation

Sr AI Engineer

Lone Tree, CO · On-site +1

$103K - $141K/yr

Develop integrations with Azure AI Foundry, Anthropic Claude SDK, Azure OpenAI, and other approved AI providers. * Design and optimize Retrieval-Augmented Generation (RAG) services and agent-based ...

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Claude information

What is a Claude?

Claude jobs typically refer to roles related to working with Claude, an artificial intelligence chatbot developed by Anthropic. These jobs can include positions such as AI prompt engineers, machine learning researchers, data scientists, product managers, and customer support specialists who focus on optimizing and deploying Claude for users. Individuals in these roles may work on improving the chatbot's capabilities, ensuring ethical AI use, and supporting its integration across various platforms. The demand for Claude-related jobs has grown as businesses seek to leverage advanced conversational AI solutions.

What skills and qualifications are needed to thrive as a Claude AI engineer?

To thrive as a Claude AI Engineer, you need a strong background in computer science, machine learning, and natural language processing, often supported by a relevant degree or equivalent experience. Familiarity with programming languages such as Python, deep learning frameworks like TensorFlow or PyTorch, and cloud computing platforms is typically required. Creative problem-solving, collaboration, and effective communication are essential soft skills for working with cross-functional teams and translating complex research into practical solutions. These skills and qualities are crucial for developing, optimizing, and deploying advanced AI systems that meet real-world needs.

How does a machine learning engineer typically collaborate with data scientists and software developers on AI projects?

Machine Learning Engineers often work closely with data scientists to translate experimental models into scalable, production-ready solutions. While data scientists focus on data exploration and developing prototypes, ML Engineers are responsible for optimizing code, implementing robust data pipelines, and ensuring models can be deployed efficiently. Collaboration with software developers is also essential to integrate machine learning models into broader applications, ensuring seamless user experiences and system reliability. Regular cross-functional meetings and agile workflows help align project goals and address challenges collaboratively.

What is the difference between Claude vs Chatbot Developer?

AspectClaudeChatbot Developer
Required CredentialsAI/ML certifications, programming skillsProgramming, AI, UX/UI design
Work EnvironmentAI research labs, tech companiesSoftware companies, startups
Industry UsageAI language models, NLP projectsCustomer service bots, conversational apps

Claude and Chatbot Developer roles both involve AI and programming skills, but Claude typically refers to AI language models or systems, while Chatbot Developers focus on creating conversational interfaces. Claude professionals work more on AI model development, whereas Chatbot Developers design and implement user-facing chatbots. Both roles are essential in AI and tech industries, but their focus areas differ based on the project scope and end-user interaction.

What are popular job titles related to Claude jobs in Colorado?

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

What job categories do people searching Claude jobs in Colorado look for?

The top searched job categories for Claude jobs in Colorado are:

What cities in Colorado are hiring for Claude jobs?

Cities in Colorado with the most Claude job openings:

Claude jobs near you
Infographic showing various Claude job openings in Colorado as of August 2026, with employment types broken down into 90% Full Time, 5% Part Time, and 5% Contract. Highlights an 73% Physical, 6% Hybrid, and 21% Remote job distribution.

Senior Claude Software Engineer

Denver, CO • Remote

DSC Resources
11 - 50 employees
Learn more about DSC Resourcesexternal

$128K - $152K/yr

Full-time

Re-posted 19 days ago

Job description

Senior Software Engineer – AI Automation & Enterprise Integration


Remote – US-Based Only


No visa sponsorship | No third-party agencies


** Must have Claude and Java experience **

We are seeking a Senior Software Engineer to join our Enterprise Integration team — a cloud-native team building APIs and microservices that connect healthcare supply chain systems across ERPs and trading partners. This is not a traditional coding-only role. The primary mandate is to lead the team’s adoption and application of Claude AI, building skills and agents that automate engineering processes, streamline deployments, and accelerate delivery. You will serve as the liaison between the team and internal AI organization, identifying which AI capabilities can be applied to our workflows and driving implementation.

 

What You’ll Own

Claude AI & Agent Leadership (Primary Focus)

•       Design, build, and maintain Claude-powered skills and agents that automate engineering workflows - not for writing code, but for automating processes: deployment prep, pull request management, code reviews, environment setup, and release timing.

•       Serve as the team’s lead on Claude Code adoption - setting standards, coaching engineers, and building repeatable patterns.

•       Act as liaison between the team and internal AI team - evaluating what AI capabilities exist internally and determining what applies to Fusion’s needs.

•       Identify manual, time-consuming engineering processes and design agent-based solutions to reduce effort and cycle time.

•       Stay current on Claude capabilities and translate new features into practical team applications.

Engineering & Integration

•       Develop Java-based REST APIs and microservices in a fully cloud-hosted AWS environment.

•       Contribute to and lead technical design for enterprise integration solutions connecting ERPs, cloud platforms, and trading partners.

•       Maintain and improve existing integrations; identify systemic improvements and drive them to completion.

•       Collaborate with QA, product, and cross-functional stakeholders in an Agile/Scrum environment.

•       Lead code and design reviews; guide the team on best practices.

•       Mentor junior and mid-level engineers.

Required Qualifications

•       Hands-on Claude Code experience - you have used it in a real workflow, not just explored it

•       Experience building Claude skills and/or agents that automate real processes

•       AWS cloud infrastructure experience

•       Strong Java development background (we value depth; years are flexible for the right candidate)

•       REST API and microservices experience

•       Experience working in an Agile/Scrum environment

•       Ability to work independently across multiple priorities

•       Strong communicator - able to bridge technical and non-technical stakeholders

Preferred Qualifications

•       8+ years of Java development experience

•       Experience with Spring framework

•       Angular application development

•       B2B / enterprise system integration experience (EDI, ERP, SCM, MMIS)

•       CI/CD pipeline experience (Jenkins, Bamboo, or similar)

•       Containerization and orchestration (Docker, Kubernetes)

•       Experience leading or mentoring engineering teams

•       Healthcare supply chain domain knowledge

What Makes Someone Successful Here

•       You think in systems and automation - your instinct when you see repetitive work is to eliminate it

•       You are comfortable being a connector between teams, translating between AI capabilities and engineering needs

•       You lead by example, drive ideas forward, and are comfortable challenging the status quo constructively

•       You are adaptable - AI tooling is evolving fast, and you embrace that

•       You can explain complex technical concepts clearly to both engineers and non-technical stakeholders

Compensation

Estimated salary range: $128,000 – $152,000. Full-time position. No C2C. No visa sponsorship.