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Prompt Engineer Jobs in Wheat Ridge, CO (NOW HIRING)

Holland & Knight

AI Legal Engineer

Denver, CO · On-site

... prompt design, retrieval pipelines, document templates, evaluations, and guardrails with practice-group-facing training, enablement, and change management. The AI Legal Engineer will serve as a ...

MarketOnce

Artificial Intelligence Engineer

Denver, CO · On-site

$140K - $175K/yr

Design prompt templates and implement retrieval strategies to increase answer precision and ... Hands-on expertise with Generative AI (LLMs, prompt engineering, fine-tuning) * Proficiency in ...

Pwc

AI Engineer

Denver, CO · On-site

$50K - $112K/yr

... prompt engineering, LLM evaluation, and fine-tuning, to develop production-ready applications powered by foundation models - Developing automated evaluation frameworks, including LLM-as-judge ...

A2Z Sync

Principal Engineer

Denver, CO · Remote

AI agent lifecycle end to end -- from prompt engineering and tool-use design through guardrails, evaluation, cost optimization, and production observability. You own the patterns the team uses to ...

Litera

Software Engineer

Denver, CO · On-site

Prompt Engineering * Embeddings/vectorization/semantic similarity * RAG We know great candidates don't always check every box. If you're excited about this role, we encourage you to apply. What You ...

Litera

Software Engineer

Denver, CO · On-site +1

Prompt Engineering * Embeddings/vectorization/semantic similarity * RAG We know great candidates don't always check every box. If you're excited about this role, we encourage you to apply. What You ...

CACI

Agentic AI Software Engineer

Aurora, CO

... Prompt engineering, evaluation frameworks (Langfuse, MLflow, DSPy), or experience tuning LLM systems for reliability Collaboration & Environment Ability to collaborate effectively across cross ...

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Prompt Engineer information

See Wheat Ridge, CO salary details

$10

$50

$93

How much do prompt engineer jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for prompt engineer in Wheat Ridge, CO is $50.04, according to ZipRecruiter salary data. Most workers in this role earn between $38.08 and $64.62 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 job categories do people searching Prompt Engineer jobs in Wheat Ridge, CO look for?

The top searched job categories for Prompt Engineer jobs in Wheat Ridge, CO are:

What cities near Wheat Ridge, CO are hiring for Prompt Engineer jobs?

Cities near Wheat Ridge, CO with the most Prompt Engineer job openings:

Prompt Engineer jobs near you
Infographic showing various Prompt Engineer job openings in Wheat Ridge, CO as of August 2026, with employment types broken down into 6% Internship, 72% Full Time, 16% Part Time, and 6% Contract. Highlights an 74% In-person, and 26% Remote job distribution, with an average salary of $104,082 per year, or $50 per hour.

Gen AI Sr. Engineer (Vertex AI / Python / ADK)

VeeRteq Solutions Inc.

Denver, CO • On-site

Contractor

Posted 9 days ago

Job description

Role: Gen AI Sr. Engineer (Vertex AI / Python / ADK)

Experience: - Min 8+ Years

Location: - Denver, CO (Onsite)

Seeking an experienced Gen AI Sr. Engineer to design, develop, deploy, and govern scalable Agentic AI solutions using Python, ADK, LLMs, multi-agent systems, GCP, Terraform, and CI/CD, while establishing architectural standards, AI governance, observability, and enterprise-grade AI application delivery.

Responsibilities –

· AI Agent Development (40%) Design, develop, and maintain AI agents and AI-powered applications using Python and ADK. Develop reusable agent frameworks, orchestration workflows, and integrations. Build intelligent workflows leveraging LLMs, RAG, tool calling, and multi-agent systems.

· Ensure reliability, scalability, observability, and performance of AI agents. Cloud Deployment & Operations (25%) Deploy, monitor, and optimize AI applications and agents on Google Cloud Platform. Manage cloud-native services, APIs, compute resources, and AI infrastructure. Implement monitoring, logging, security, and operational best practices. Optimize infrastructure and application performance for cost and efficiency.

· Collaboration & Integration (15%) Partner with data scientists, analysts, architects, and business stakeholders.

· Translate business requirements into AI-enabled technical solutions. Integrate AI agents into existing enterprise applications and workflows. Participate in solution design, architecture reviews, and stakeholder discussions. Infrastructure Automation (10%) Develop Infrastructure as Code (IaC) solutions using Terraform. Automate environment provisioning, deployments, and cloud configurations.

· Implement CI/CD pipelines supporting AI application lifecycles. Quality Engineering & Continuous Improvement (5%) Perform unit testing, integration testing, and troubleshooting. Improve agent evaluation, observability, and operational excellence.

· Resolve production issues and optimize solution performance. Other Duties (5%) Support innovation initiatives and continuous learning. Contribute to AI best practices, standards, and reusable frameworks.

Educational Qualifications: -

Engineering Degree – BE/ME/BTech/MTech/BSc/MSc.

Technical certification in multiple technologies is desirable.

Skills: -

Mandatory skills

· Programming & Development Python (Expert level) Object-Oriented Programming (OOP) REST API Development Microservices Architecture Git / GitHub Agentic AI & Generative AI Agent Development Kit (ADK) Agentic AI solutions Multi-Agent Systems

· Prompt Engineering LLM Integration (Gemini, OpenAI, Claude, etc.) Tool Calling and Function Calling AI Agent Orchestration Frameworks Google Cloud Platform (GCP) Vertex AI Cloud Run Cloud Functions Cloud Storage Pub/Sub BigQuery IAM Monitoring & Logging Cloud Build Infrastructure & DevOps Terraform CI/CD Pipelines Docker Kubernetes (GKE) Infrastructure as Code (IaC) Testing & Operations Unit Testing Integration

· Testing Debugging & Troubleshooting

Skills

GenAI, AgenticAI, Python, ADK, VertexAI, Cloud

VeeRteq Solutions is an Equal Opportunity Employer