1

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

Software Engineer

Denver, CO ยท On-site

$120 - $150/hr

Proven prompt engineering experience and strong written communication skillsNice to Haves:* Experience with AI-enabled development (e.g., Agentic AI tools, prompt orchestration, AI feature delivery)

Strong Python with ML/AI development and prompt engineering * Data visualization and storytelling * Strong SQL skills * Leadership and stakeholder collaboration Responsibilities: * Build and deploy ...

... 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 ...

Sr. Software Engineer - AI/ML

Denver, CO

$126K - $166K/yr

Develop scalable and reusable prompt orchestration, context management, and multi-agent frameworks supporting enterprise adoption. * Partner with engineering and delivery teams to translate business ...

Artificial Intelligence Engineer

Denver, CO ยท 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 ...

AI Engineer

Denver, CO ยท 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 ...

Software Engineer

Denver, CO ยท 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 ...

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 ...

Senior Platform Engineer, AI

Denver, CO ยท On-site

$107K - $147K/yr

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

Lead Forward Deployed Engineer, ServiceNow

Denver, CO ยท On-site

$105K - $139K/yr

Set direction for prompt engineering, tool-use patterns, and human-in-the-loop controls * Govern end-to-end RAG pipeline design-including ingestion, chunking, embedding, vector retrieval, and hybrid ...

Showing results 21-40

Prompt Engineer information

See Highlands Ranch, CO salary details

$10

$49

$92

How much do prompt engineer jobs pay per hour?

As of Aug 23, 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 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 91% Full Time, 6% Part Time, and 3% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution, with an average salary of $102,798 per year, or $49.4 per hour.

Full-time

Re-posted 2 days ago


Job description

Job Summary:
D.A. Davidson Companies is an independent, employee-owned company dedicated to integrity and outstanding service. They are seeking a Mid-Level AI and Automation Engineer to develop AI capabilities within a Microsoft environment, focusing on intelligent assistants and automated workflows to transform business processes in the financial services domain.
Responsibilities:
โ€ข Design and Develop AI-Powered Workflows: Use Microsoft Copilot Studio and Power Platform (Power Automate, Power Apps) to design, build, and optimize AI assistants and automated workflows that enhance employee productivity and decision-making.
โ€ข Integrate Enterprise Data and Systems: Connect AI copilots to enterprise data sources and APIs, enabling context-rich automation (e.g. integrating Azure AI services or databases with Copilot agents for real-time information retrieval).
โ€ข Apply AI Best Practices: Implement prompt engineering techniques and fine-tune AI models or prompts to improve the relevance and accuracy of Copilot responses. Utilize Azure OpenAI or similar services to incorporate advanced language AI capabilities when needed.
โ€ข Ensure Compliance and Security: Build solutions with robust security, privacy, and compliance controls in mind, aligning with corporate policies and industry regulations (financial data protection, responsible AI use, audit logging). Work closely with governance teams to enforce security standards for AI integrations.
โ€ข DevOps and Monitoring: Develop CI/CD pipelines for deploying and updating AI agents or automation workflows, ensuring smooth rollouts and version control. Set up monitoring and telemetry dashboards to track performance, usage, and quickly address any issues.
โ€ข Collaboration and Iteration: Work in an Agile team alongside product managers, business analysts, and designers to refine requirements and user stories. Iterate on solutions based on user feedback and analytics, continuously improving the AI assistantsโ€™ effectiveness.
โ€ข Documentation and Training: Document solution designs, workflows, and configurations. Help create user guides or demo sessions to drive adoption of the new AI-powered tools among employees and stakeholders.
Qualifications:
Required:
โ€ข Bachelorโ€™s degree in Computer Science, Software Engineering, or related field.
โ€ข 5+ years of experience in software development, automation engineering, or similar roles.
โ€ข Hands-on experience with Microsoft Power Automate and related Power Platform tools for workflow automation.
โ€ข Familiarity with M365 Copilot features or similar AI bot/agent development tools (e.g. Azure AI services, cognitive services).
โ€ข Proficiency in at least one programming or scripting language (such as Python, C#, or JavaScript) to extend and customize solutions.
โ€ข Experience building or consuming RESTful APIs and working with data integration.
โ€ข Working knowledge of Azure cloud services and AI/ML frameworks.
โ€ข Ability to deploy applications or automations in a cloud environment and integrate AI APIs (Azure OpenAI, Azure Cognitive Services, etc.).
โ€ข Experience with version control (git and Bitbucket) and continuous integration/continuous deployment (CI/CD) pipelines for software projects.
โ€ข Comfortable using tools like Azure DevOps or GitHub Actions to automate build-test-deploy processes.
โ€ข Strong analytical and problem-solving skills with a track record of delivering solutions that meet business needs.
โ€ข Excellent communication skills to work effectively with both technical and non-technical team members.
โ€ข Align efforts with other lines-of-business and functional areas, such as our partners in Operations, Finance, Wealth Management, and more.
โ€ข Commitment to maintain client confidentiality and data security.
โ€ข Communicate in a clear and service-oriented manner; use appropriate, professional language and grammar to effectively exchange ideas and information.
โ€ข Ability to proactively work with both external and internal clients; relate with others in a professional manner to accomplish work responsibilities and objectives.
โ€ข Ability to maintain regular, predictable attendance.
Preferred:
โ€ข Experience with Microsoft 365 Copilot Studio โ€“ for example, having built or managed AI copilots/agents in a production setting.
โ€ข Knowledge of designing conversation flows, topics, tools, and using Copilotโ€™s advanced features (custom actions, agent-to-agent workflows).
โ€ข Familiarity with large language models beyond basic API usage โ€“ e.g., experience with prompt tuning, deploying LLMs, or implementing retrieval-augmented generation (RAG) pipelines with vector databases for domain-specific Q&A.
โ€ข Experience with Azure AI Foundry and Azure AI capabilities like document intelligence, computer vision, speech, and more.
โ€ข Background in financial services or wealth management technology projects.
โ€ข Understanding of industry regulatory requirements (e.g. data privacy, audit, model risk management) and how to design AI solutions that comply with them.
โ€ข Hands-on experience implementing security, compliance, and responsible AI practices in software.
โ€ข Familiarity with Microsoftโ€™s Responsible AI guidelines, Azure Purview for data governance, or similar tools to control AI use.
โ€ข Demonstrated initiative in previous roles โ€“ maybe you introduced a new automation tool, led a pilot of an AI solution, or actively contributed to AI/automation communities.
โ€ข Microsoft certifications in Azure AI, Power Platform, or related areas would be an advantage, reflecting your commitment to staying current.
โ€ข Lots of experience working in highly-iterative development processes.
โ€ข Somebody prepared to deal with the boring and the tough.
Company:
D.A. Founded in 2002, the company is headquartered in New York, USA, with a team of 1001-5000 employees. The company is currently Late Stage.