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

Programmers.io

AI Engineering

Denver, CO · On-site

8+ years of management experience 4+ years of LLM experience (fine-tuning, RAG, prompt engineering, agentic) 8+ years of ML/Data Science Experience Someone who has been delivering AI/ML models into ...

Loenbro

AI Engineer

Westminster, CO

Develop and iterate on prompt engineering strategies to ensure consistent, accurate, and useful outputs from large language models (LLMs) * Prototype and test AI workflows using tools such as LLM ...

Loenbro

AI Engineer

Westminster, CO · On-site

Develop and iterate on prompt engineering strategies to ensure consistent, accurate, and useful outputs from large language models (LLMs) * Prototype and test AI workflows using tools such as LLM ...

Palnar

ONLY W2 | AI Engineer@ Denver, Co

Denver, CO · On-site

We are looking for highly skilled AI Engineers with expertise in Large Language Models (LLMs) and ... Knowledge of ML pipelines, APIs, and prompt engineering. Excellent problem-solving, communication ...

Prologis

Senior AI Automation Engineer

Denver, CO · On-site

$107K - $140K/yr

Job Title: Senior AI Automation Engineer Company: Prologis A day in the life The Senior AI ... Define reusable engineering patterns for prompt frameworks, retrieval-augmented generation, text-to ...

Deloitte

Google AI Architect

Denver, CO

AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate ... Design, fine-tune, evaluate, and govern LLM solutions with Gemini on Vertex AI (prompt/tool ...

Go West IT

AI & Automation Engineer

Greenwood Village, CO · On-site

$145K - $175K/yr

Develop prompt engineering standards, reusable prompt libraries, and AI workflows * Create internal AI tools that increase technician productivity and automate repetitive work * Evaluate emerging AI ...

Eliassen Group

AI Software Engineer

Greenwood Village, CO · On-site

$50 - $56/hr

Your work will establish engineering standards and enable scalable, cost-aware AI adoption across ... Develop reusable prompt templates, steering files, and workspace configurations to standardize AI ...

Deloitte

Google AI Lead Architect

Denver, CO · On-site

$56.75 - $78/hr

Join our AI & Engineering team in transforming technology platforms, driving innovation, and ... Design, fine-tune, evaluate, and govern LLM solutions with Gemini on Vertex AI (prompt/tool ...

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All JobsAi Prompt Engineer JobsAi Prompt Engineer Jobs in Highlands Ranch, CO

Ai Prompt Engineer information

See Highlands Ranch, CO salary details

$26

$56

$80

How much do ai prompt engineer jobs pay per hour?

As of Aug 31, 2026, the average hourly pay for ai prompt engineer in Highlands Ranch, CO is $56.29, according to ZipRecruiter salary data. Most workers in this role earn between $45.43 and $65.34 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 job categories do people searching Ai Prompt Engineer jobs in Highlands Ranch, CO look for?

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

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

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

Ai Prompt Engineer jobs near you
Infographic showing various Ai Prompt Engineer job openings in Highlands Ranch, CO as of August 2026, with employment types broken down into 77% Full Time, 21% Part Time, and 2% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution, with an average salary of $117,086 per year, or $56.3 per hour.

Google CCAI (Contact Center AI) & GECX Developer at Denver, CO (Onsite)

Wiselink Global Inc

Denver, CO • On-site

Other

Posted 24 days ago

Job description

Job Title: Google CCAI (Contact Center AI) & GECX Developer

Location: Denver, CO (Onsite)

Long Term Contract

Job Summary

We are seeking a highly skilled Google CCAI and GECX Developer with hands-on experience in designing, developing, and implementing enterprise-grade Conversational AI solutions using the Google Cloud ecosystem. The ideal candidate will have expertise in Dialogflow CX, GECX Playbooks, Conversational AI, Python-based integrations, API orchestration, and cloud-native application development. Experience in contact center transformation, virtual agent modernization, and migration projects from legacy IVR/chatbot platforms to Google CCAI/GECX is highly preferred.

Key Responsibilities

Conversational AI Development

  • Design, develop, and maintain intelligent virtual agents using Google Dialogflow CX and Google Contact Center AI (CCAI).
  • Build voice and chat automation solutions for customer service, sales, technical support, billing, payments, account management, and other contact-center use cases.
  • Configure and manage intents, entities, routes, flows, pages, fulfillment, session parameters, and event handlers.
  • Develop reusable conversation components and enterprise chatbot frameworks.

GECX / Generative AI Implementation

  • Design and develop Google GECX (GenCX) Playbooks utilizing Large Language Models (LLMs).
  • Implement generative AI-powered customer journeys leveraging Gemini and Vertex AI services.
  • Build and optimize prompts, grounding strategies, response generation logic, and conversational guardrails.
  • Perform prompt engineering, prompt evaluation, and conversation tuning activities.

Integration & Backend Development

  • Develop Python-based webhooks and fulfillment services.
  • Integrate conversational solutions with enterprise applications using REST APIs, gRPC services, middleware platforms, and cloud services.
  • Implement secure authentication mechanisms including OAuth, JWT, and API key-based integrations.
  • Build orchestration layers for customer profile retrieval, account validation, transaction processing, and backend workflows.

Migration & Modernization Projects

  • Participate in migration initiatives involving:
    • Legacy IVR to Google CCAI migration
    • Dialogflow ES to Dialogflow CX migration
    • Chatbot platform migration to Google Conversational AI
    • Legacy rule-based bots to Generative AI-based virtual agents
  • Analyze existing conversation flows, intents, call-routing logic, and backend integrations.
  • Execute migration assessments, solution mapping, conversation redesign, and deployment activities.
  • Support data migration, knowledge migration, and conversational experience modernization efforts.

DevOps & Production Support

  • Manage source code repositories using Git-based version control systems.
  • Support CI/CD deployment pipelines across development, testing, staging, and production environments.
  • Troubleshoot production issues and implement root-cause analysis.
  • Conduct regression testing, performance validation, and release management activities.

Required Technical Skills

Google CCAI Technologies

  • Google Contact Center AI (CCAI)
  • Dialogflow CX
  • Conversational AI
  • Virtual Agent Development
  • Contact Center Automation

GECX / Generative AI

  • Google GenCX / GECX Playbooks
  • Gemini Models
  • Vertex AI
  • Prompt Engineering
  • Prompt Evaluation
  • LLM Integrations
  • AI Agent Design

Development

  • Python
  • REST APIs
  • gRPC
  • Webhook Development
  • Microservices Architecture

Cloud Technologies

  • Google Cloud Platform (Google Cloud Platform)
  • Cloud Functions
  • Cloud Run
  • BigQuery
  • Vertex AI
  • Pub/Sub
  • Cloud Storage

Database & Tools

  • SQL
  • Postman
  • GitHub
  • GitLab
  • JIRA

Preferred Skills

  • Experience with telecom, banking, healthcare, retail, or customer service contact centers.
  • Knowledge of speech analytics and conversational analytics.
  • Hands-on experience with RAG (Retrieval Augmented Generation) architectures.
  • Experience with LangChain, LangGraph, AI agents, and Agentic AI frameworks.
  • Exposure to omnichannel customer engagement platforms.
  • Understanding of IVR call flows, contact center operations, and customer experience transformation programs.

Preferred Migration Experience

Candidates with experience in any of the following will be strongly preferred:

  • Genesys to Google CCAI migration
  • NICE CXone to Google CCAI migration
  • Amazon Connect to Google CCAI migration
  • Legacy IVR modernization programs
  • Dialogflow ES to CX migration
  • Traditional chatbot to Generative AI bot transformation
  • Knowledge base migration and conversational redesign initiatives
  • Contact center cloud migration programs

Certifications (Preferred)

  • Google Professional Cloud Architect
  • Google Professional Cloud Developer
  • Google Cloud Digital Leader
  • Google Generative AI Certifications
  • Google Contact Center AI Certifications

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