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Ai Prompt Engineer Jobs in Colorado (NOW HIRING)

True Anomaly

Staff Platform Engineer, AI

Denver, CO · On-site

Experience with large language model APIs, including prompt engineering, tool use, retrieval-augmented generation (RAG), or agent frameworks (e.g. CrewAI, Pydantic AI). * Demonstrated ability to work ...

Deloitte

AI Engineer Consultant

Denver, CO · Hybrid

We are hiring an AI Engineer to build and operate the data, features, and GenAI foundations that ... prompt/context patterns. * Implement LLM application patterns including RAG, document ingestion ...

Wsgr

Senior AI Security Engineer

Boulder, CO · On-site +1

$118K - $162K/yr

The Senior AI Security Engineer, under the direction of the Director, Security Engineering and ... prompt injection attack surfaces, and tool call authorization models before any MCP server is ...

GEI Consultants

AI Engineer

Denver, CO · On-site

The AI Engineer is responsible for the development of AI solutions, typically leveraging pretrained ... Design and implement prompt flows, plugins, and orchestrations using Copilot Studio and Azure ...

GEI Consultants

AI Engineer

Denver, CO · On-site

$110K - $150K/yr

The AI Engineer is responsible for the development of AI solutions, typically leveraging pretrained ... Design and implement prompt flows, plugins, and orchestrations using Copilot Studio and Azure ...

Vertafore

AI Engineering Leader

Denver, CO · On-site

$200K - $300K/yr

Proficiency in Python and familiarity with the modern AI engineering stack -- LangChain/LangGraph (or equivalent), vector databases, prompt engineering, and model evaluation tooling * Experience ...

Vertafore

AI Engineering Leader

Denver, CO · On-site

$200K - $300K/yr

Proficiency in Python and familiarity with the modern AI engineering stack - LangChain/LangGraph (or equivalent), vector databases, prompt engineering, and model evaluation tooling * Experience ...

Vertafore

AI Engineering Leader

Denver, CO · On-site

$200K - $300K/yr

Proficiency in Python and familiarity with the modern AI engineering stack -- LangChain/LangGraph (or equivalent), vector databases, prompt engineering, and model evaluation tooling * Experience ...

US Bank

Software Engineer 2 (Backend AI)

Denver, CO · On-site

Developed and deployed AI/GenAI-powered applications utilizing Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), embedding models, and prompt engineering techniques. * Designed and ...

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Ai Prompt Engineer information

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How much do ai prompt engineer jobs pay per hour?

As of Sep 3, 2026, the average hourly pay for ai prompt engineer in Colorado is $56.39, according to ZipRecruiter salary data. Most workers in this role earn between $45.48 and $65.48 per hour, depending on experience, location, and employer.

What is an AI prompt engineer?

An AI Prompt Engineer designs, tests, and optimizes prompts to improve the performance of AI language models. They ensure that AI-generated responses align with desired outcomes by refining input prompts and analyzing model behavior. This role requires a mix of technical skills, creativity, and an understanding of natural language processing (NLP). Prompt engineers often collaborate with developers, data scientists, and product teams to enhance AI interactions.

What does an AI prompt engineer do?

As an AI Prompt Engineer, your day-to-day work often involves designing, testing, and refining prompts to improve the performance and accuracy of AI models for various applications. You'll frequently collaborate with data scientists, product managers, and software developers to understand requirements and integrate AI solutions effectively. Analyzing prompt outputs, troubleshooting issues, and documenting best practices are integral parts of the role. This position offers a dynamic and intellectually stimulating environment where continual learning and innovation are encouraged.

What are the key skills and qualifications needed to thrive as an AI prompt engineer?

To thrive as an AI Prompt Engineer, a solid background in natural language processing, programming (such as Python), and understanding of machine learning concepts is essential, typically supported by a degree in computer science or a related field. Experience with AI frameworks (like OpenAI's APIs), prompt engineering tools, and familiarity with cloud platforms are highly valued and may be supplemented by certifications in AI or data science. Strong analytical thinking, creativity, and excellent communication skills allow for designing effective prompts and collaborating with technical and non-technical stakeholders. These skills and qualities ensure the development of high-quality AI solutions that meet user needs and maximize the effectiveness of language models.

How do I become an AI prompt engineer?

To become an AI prompt engineer, develop strong skills in natural language processing, machine learning, and programming languages like Python. Gain experience with AI models such as GPT and learn to craft effective prompts through practice and understanding of model behavior. Relevant certifications, online courses, and familiarity with AI tools can also enhance your qualifications.

How much do AI prompt engineers make?

AI prompt engineers typically earn between $70,000 and $130,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in machine learning and natural language processing can command higher salaries. Many positions also offer benefits such as flexible schedules and opportunities for professional development.

What is the job of an AI Prompt Engineer?

An AI Prompt Engineer designs and optimizes prompts to improve the performance of AI language models. They analyze model responses, experiment with prompt structures, and use tools like natural language processing to ensure accurate and relevant outputs, often working with machine learning frameworks and data annotation techniques.

What are the most commonly searched types of Ai Prompt Engineer jobs in Colorado?

The most popular types of Ai Prompt Engineer jobs in Colorado are:

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

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

What job categories do people searching Ai Prompt Engineer jobs in Colorado look for?

The top searched job categories for Ai Prompt Engineer jobs in Colorado are:

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Cities in Colorado with the most Ai Prompt Engineer job openings:

Ai Prompt Engineer jobs near you
Infographic showing various Ai Prompt Engineer job openings in Colorado as of August 2026, with employment types broken down into 72% Full Time, and 28% Contract. Highlights an 100% In-person job distribution, with an average salary of $117,299 per year, or $56.4 per hour.

Staff Platform Engineer, AI

True Anomaly

Denver, CO • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 8 days ago

Job description

Space is a warfighting domain. True Anomaly seeks those with the talent and ambition to build the technology that secures it.
OUR MISSION
True Anomaly delivers decisive capabilities for space superiority. We build autonomous spacecraft, advanced payloads, mission software, and space-based interceptors - enabling the U.S. and its Allies to secure the space environment and counter threats from the ultimate high ground.
OUR VALUES
  • Be the offset. We create asymmetric advantages with creativity and ingenuity.
  • What would it take? We challenge assumptions to deliver ambitious results.
  • It's the people. Our team is our competitive advantage and we are better together.

YOUR MISSION
At True Anomaly, we're building the next generation of space defense. AI-assisted work is the biggest force multiplier available to a company at True Anomaly's stage. It accelerates how we build, how we deliver, and how we scale. We are investing in AI as a core operating capability, not a side experiment, and this role exists to make that investment real.
As a Staff AI Platform Engineer, you will be one of the first hires to build the infrastructure, tooling, and integrations that put AI directly into the hands and workflows of every team across the company. This is not a research role. It is a building role. You will ship capabilities that engineers, program managers, operators, and business teams use every day to move faster and produce better work.
The scope is broad by design. Your work will range from building connectors between AI models and internal systems, developing custom applications for a specific business workflow, and more. You will own platform-level technical decisions about AI providers, tools, and architectures. You will also help build and deliver AI training and enablement for the company, including office hours, brown bags, and hands-on resources.
The platform engineering org, reporting to the Chief Security Officer, will work across the enterprise, from engineering and product to marketing and finance. You will have meaningful autonomy, visibility to executive leadership, and the opportunity to shape how a fast-growing defense technology company operates with AI.
As a technical leader on the team, you'll be expected to bring a breadth of cross discipline experience from areas like cloud infrastructure, DevOps, systems design, technical decision making, operations, and working across organizational boundaries to move the needle for customers. You will use your broad skillset to partner with senior leaders to deliver AI capabilities to the company. You will mentor other engineers to promote their growth. You will work through significant ambiguity to establish technical requirements and deliver results for internal stakeholders.
RESPONSIBILITIES
  • Lead the design of AI platform infrastructure that will be rolled out across the enterprise. Work with stakeholders across business functions to gather requirements, evaluate technical tradeoffs, and reach consensus.
  • Build and maintain AI platform infrastructure: API integrations, model access pipelines, system connectors (MCP, tool use), and on-premises compute environments as needed
  • Develop custom AI-powered applications, workflows, and integrations that connect frontier models to internal systems such as project management, documentation, communications, and operational tools
  • Own technical evaluation and selection of AI providers, tools, and platforms, making build-vs-buy decisions based on capability, compliance requirements, and speed to value
  • Act as a mentor and role model for other engineers on the team to support their growth.
  • Contribute to AI training and enablement programs for the company, including hands-on workshops, office hours, documentation, and shared resources that help teams build real fluency
  • Partner with engineering, security, and IT teams to ensure AI deployments meet government security and compliance requirements across data classification levels
  • Stay current with the rapidly evolving AI landscape and bring informed recommendations on new models, tools, and capabilities that could accelerate the company

QUALIFICATIONS
  • Typically 8+ years of software engineering, DevOps, or cloud engineering experience with a track record of technical leadership, including owning roadmaps, making architectural decisions, and mentoring engineers
  • Strong software engineering or similar background with experience building and shipping production systems, ideally in Python, TypeScript, or similar languages common in AI/ML tooling
  • Experience using the latest AI powered development tools to deliver production code and automate routine tasks.
  • Experience with large language model APIs, including prompt engineering, tool use, retrieval-augmented generation (RAG), or agent frameworks (e.g. CrewAI, Pydantic AI).
  • Demonstrated ability to work across a broad technical surface area, context-switching between infrastructure, application development, and platform architecture. Ability to work across teams to understand requirements and seek consensus
  • Demonstrated experience owning technical roadmaps and making architectural decisions that affect multiple teams or products, including setting technical standards and driving adoption
  • Experience with building and using modern software development lifecycle best practices (CI/CD pipelines, continuous testing and monitoring)
  • Experience deploying and operating production workloads to cloud environments (AWS, Azure, GCP).
  • Strong communication skills and ability to translate technical AI concepts for non-technical audiences through training, documentation, and direct support
  • Self-directed and comfortable operating with high autonomy in a fast-paced environment where priorities shift and the playbook is being written in real time
  • US Citizenship and ability to obtain and maintain a Top-Secret security clearance

PREFERRED SKILLS AND EXPERIENCE
  • Experience deploying AI or ML systems in government, defense, or regulated environments with security and compliance constraints
  • Familiarity with government cloud environments (AWS GovCloud, Azure Government) and authorization frameworks (FedRAMP, NIST 800-53, IL4/IL5)
  • Experience with model hosting or fine-tuning and/or experience benchmarking models and evaluating cost tradeoffs
  • Experience with LLM eval frameworks, OpenTelemetry tracing, and other model measurement and observability frameworks.
  • Background in developer tooling, platform engineering, or internal tools teams at high-growth technology companies
  • Experience building knowledge retrieval systems, embedding pipelines, or enterprise search infrastructure
  • Active U.S. Secret or Top-Secret security clearance

COMPENSATION
  • Base Salary: Denver - $225,000 - $310,000, Long Beach - $235,000 - $325,000
  • Equity + Benefits including Health, Dental, Vision, HRA/HSA options, PTO and paid holidays, 401K, Parental Leave

Your actual level and base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, location, and experience.
ADDITIONAL REQUIREMENTS
  • Work Location- Long Beach, CA, or Denver, CO. While we observe a hybrid work environment, you will need to be onsite as the business needs require. Onsite requirements are subject to change, particularly when work on classified systems is required. On an average week, you can expect to spend at least 3 days per week in office.
  • Work environment-the work environment; temperature, noise level, inside or outside, or other factors that will affect the person's working conditions while performing the job.
  • Physical demands-the physical demands of the job, including bending, sitting, lifting and driving.

This position will be open until it is successfully filled. To submit your application, please follow the directions below. #LI-Onsite
To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR), you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State.
To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State.
True Anomaly is committed to equal employment opportunity on any basis protected by applicable state and federal laws. If you have a disability or additional need that requires accommodation, please do not hesitate to let us.

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