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Prompt Engineer Jobs in Highlands Ranch, CO (NOW HIRING)

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Work primarily as a QA tester or non-technical prompt engineer * Lack hands-on Docker and terminal/CLI experience * Are unwilling to complete a CodeSignal screening or write original, self-authored ...

AI Engineer

Denver, CO · On-site

$100K - $137K/yr

Design, implement, and fine-tune Generative AI applications including LLMs, RAG pipelines, and prompt engineering solutions for clinical and operational use cases. * Build and maintain LLM-integrated ...

AI Engineer

Denver, CO · On-site

$100K - $137K/yr

Design, implement, and fine-tune Generative AI applications including LLMs, RAG pipelines, and prompt engineering solutions for clinical and operational use cases. * Build and maintain LLM-integrated ...

Establish prompt engineering, validation, governance, and monitoring practices to ensure reliable, secure, and responsible AI outcomes. * Create user-friendly interfaces, dashboards, and tools that ...

Establish prompt engineering, validation, governance, and monitoring practices to ensure reliable, secure, and responsible AI outcomes. * Create user-friendly interfaces, dashboards, and tools that ...

Senior AI Engineer

Centennial, CO · On-site

$107K - $147K/yr

Establish prompt engineering, validation, governance, and monitoring practices to ensure reliable, secure, and responsible AI outcomes. * Create user-friendly interfaces, dashboards, and tools that ...

Senior AI Engineer

Centennial, CO · On-site

$107K - $147K/yr

Establish prompt engineering, validation, governance, and monitoring practices to ensure reliable, secure, and responsible AI outcomes. * Create user-friendly interfaces, dashboards, and tools that ...

Senior AI Automation Engineer

Denver, CO

$107K - $140K/yr

Define reusable engineering patterns for prompt frameworks, retrieval-augmented generation, text-to-SQL, semantic data models, agent workflows, evaluation, guardrails, human review, and workflow ...

Process Engineer II

Littleton, CO · On-site

$83K - $118K/yr

Strong AI literacy and application skills, specifically using effective prompt engineering and AI productivity tools to optimize workflows * Exceptional collaboration, interpersonal, and change ...

Lead GenAI / AI-ML SME

Centennial, CO · On-site

$105K - $138K/yr

Lead the technical playbook for prompt engineering, tool-calling, agent routing, structured outputs, and evaluation frameworks that keep AI-assisted operations reliable and trustworthy * Partner with ...

Strong AI literacy and application skills, specifically using effective prompt engineering and AI productivity tools to optimize workflows * Exceptional collaboration, interpersonal, and change ...

Process Engineer II

Littleton, CO · On-site

$83K - $118K/yr

Strong AI literacy and application skills, specifically using effective prompt engineering and AI productivity tools to optimize workflows * Exceptional collaboration, interpersonal, and change ...

Process Engineer II

Littleton, CO · On-site

$83K - $118K/yr

Strong AI literacy and application skills, specifically using effective prompt engineering and AI productivity tools to optimize workflows * Exceptional collaboration, interpersonal, and change ...

Drive platform reliability, observability, and continuous integration by establishing robust prompt-engineering guardrails, extensive automated simulations, and comprehensive CloudWatch monitoring ...

Drive platform reliability, observability, and continuous integration by establishing robust prompt-engineering guardrails, extensive automated simulations, and comprehensive CloudWatch monitoring ...

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Prompt Engineer information

See Highlands Ranch, CO salary details

$10

$49

$92

How much do prompt engineer jobs pay per hour?

As of Sep 14, 2026, the average hourly pay for prompt engineer in Highlands Ranch, CO is $49.42, according to ZipRecruiter salary data. Most workers in this role earn between $37.60 and $63.85 per hour, depending on experience, location, and employer.

What is a prompt engineer?

A Prompt Engineer is a professional who designs, refines, and optimizes prompts to improve interactions with AI models, such as ChatGPT. Their role involves understanding model behavior, crafting precise queries, and experimenting with phrasing to achieve desired outputs. They may work in AI research, software development, or content generation to maximize AI efficiency. Strong skills in language, logic, and sometimes coding are essential for success in this role.

What does a prompt engineer do?

A typical day for a Prompt Engineer involves designing, testing, and refining prompts to enhance the performance of AI language models, often collaborating closely with data scientists, software engineers, and product managers. You might analyze the results of model outputs, integrate user or stakeholder feedback, and iterate on prompt strategies to solve diverse business challenges. Your role will usually include documentation, troubleshooting, and keeping up with the latest advances in AI technologies. Expect a mix of independent work and regular team meetings in a dynamic, fast-evolving environment focused on innovation and improvement.

What skills and qualifications are needed to be a prompt engineer?

To thrive as a Prompt Engineer, you need a strong grasp of natural language processing (NLP), machine learning concepts, and experience crafting effective prompts for large language models, usually supported by a technical degree or relevant experience. Familiarity with tools such as OpenAI's API, Hugging Face, or other AI platforms, as well as knowledge of programming languages like Python, is highly valuable. Creative thinking, analytical problem-solving, and cross-functional communication skills help differentiate top candidates in this field. These abilities are crucial for optimizing AI outcomes and ensuring collaboration with both technical and non-technical teams.

Are prompt engineers still in demand?

Prompt engineers are currently in demand as organizations seek professionals skilled in designing effective prompts for AI language models. The role often requires knowledge of natural language processing, machine learning, and familiarity with AI tools like GPT. Demand is expected to grow as AI integration expands across industries.

How much do prompt engineers make?

Prompt engineers typically earn between $80,000 and $150,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in AI and machine learning can command higher salaries, especially in tech hubs or companies investing heavily in AI development.

What exactly is prompt engineer work?

A prompt engineer designs and optimizes prompts used to interact with AI language models, ensuring accurate and relevant responses. This role involves understanding AI behavior, crafting clear instructions, and often requires knowledge of machine learning, programming, or data analysis.

What are popular job titles related to Prompt Engineer jobs in Highlands Ranch, CO?

For Prompt Engineer jobs in Highlands Ranch, CO, the most frequently searched job titles are:

What job categories do people searching Prompt Engineer jobs in Highlands Ranch, CO look for?

The top searched job categories for Prompt Engineer jobs in Highlands Ranch, CO are:

What cities near Highlands Ranch, CO are hiring for Prompt Engineer jobs?

Cities near Highlands Ranch, CO with the most Prompt Engineer job openings:

Infographic showing various Prompt Engineer job openings in Highlands Ranch, CO as of August 2026, with employment types broken down into 6% Internship, 66% Full Time, 20% Part Time, and 8% Contract. Highlights an 74% In-person, and 26% Remote job distribution, with an average salary of $102,798 per year, or $49.4 per hour.

Software Engineer - AI Model Evaluation

Denver, CO • Remote

$150/hr

Part-time

Posted 18 days ago

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Job description

Software Engineer – AI Model Evaluation (Technical Advisor)
Remote (United States) | W2 Contract | $150/hour | 6-Month Contract (Possibility of Extension)


Shape the Future of AI — From the Inside

Our client is a leading AI safety and research company dedicated to building AI systems that are reliable, beneficial, and genuinely understandable. Right now, they're focused on a critical question: how well do today's most advanced coding agents actually perform on real, production-grade software engineering work? This is your opportunity to help answer that question directly, working alongside one of the most respected names in AI research.

As a Software Engineer – Technical Advisor, you won't be writing product code from scratch. Instead, you'll serve as a high-bar technical authority — reviewing model-generated pull requests, dissecting full agent session logs, and building rigorous test problems that expose exactly where and why frontier AI models succeed or fail at real engineering tasks. This role demands sharp code review instincts, deep production experience, and the ability to put rigorous technical reasoning into writing.


What You'll Do

  • Audit model-generated pull requests against real production repositories, documenting every issue with severity ratings and detailed technical rationale
  • Evaluate full coding-agent session logs to determine what the model investigated, verified, assumed, or missed
  • Design and build container-based (Docker) technical benchmarks used to test AI models
  • Write clear, original technical rationales explaining why code fails — all written work must be self-authored, without AI writing tools
  • Collaborate asynchronously with AI researchers to share findings and help refine evaluation criteria


What You Bring

  • 8+ years of production engineering experience (exceptions considered only for truly exceptional profiles)
  • Background as a Senior, Staff, or Principal Software Engineer, Tech Lead, or Open-Source Maintainer
  • Experience working in production codebases with a strict code review culture — startup, big tech, or open source
  • Polyglot adaptability: strong Python and TypeScript experience is common, but comfort picking up unfamiliar languages weekly is a must
  • Solid command of Docker, git, and CLI to reproduce, isolate, and debug issues locally
  • Cross-layer fluency across backend, frontend, APIs, data, testing, or developer tooling
  • Excellent written communication — able to clearly explain why code fails, not just how to fix it


This Role Is Not a Fit If You...

  • Are an Engineering Manager or Director who no longer writes or reviews code regularly
  • Have experience limited to low-code, no-code, or single-framework MVPs without production code review exposure
  • Work primarily as a QA tester or non-technical prompt engineer
  • Lack hands-on Docker and terminal/CLI experience
  • Are unwilling to complete a CodeSignal screening or write original, self-authored technical rationale


Schedule

30–40 hours/week, mostly asynchronous. You'll set your own schedule locally (not restricted to Pacific time), but must be reachable during US business hours for periodic syncs.


Why This Role

This is a rare chance to work at the cutting edge of AI evaluation with one of the most influential companies in the space — using your deep engineering expertise to directly shape how the next generation of AI coding tools is built, tested, and trusted.