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Generative Ai Prompt Writing Jobs in Colorado (NOW HIRING)

GEI Consultants

AI Engineer

Denver, CO · On-site

Design and implement prompt flows, plugins, and orchestrations using Copilot Studio and Azure ... Experience with Generative AI Large Language Models (LLMs), including solution development and fine ...

GEI Consultants

AI Engineer

Denver, CO · On-site

$110K - $150K/yr

Design and implement prompt flows, plugins, and orchestrations using Copilot Studio and Azure ... Experience with Generative AI Large Language Models (LLMs), including solution development and fine ...

Themesoft, Inc.

REMOTE_Senior Gen AI Engineer

Denver, CO · On-site

$126K - $166K/yr

Generative AI and enterprise agent-based solutions| focusing on the design| development| and ... Developing and maintaining LLM-powered solutions| including prompt engineering| agent orchestration ...

Deloitte

Oracle Gen AI Manager

Colorado Springs, CO · On-site

Deloitte Oracle Generative AI Architect Managers help clients delineate strategy and vision, design ... Effective written and verbal communication skills * Meticulous attention to detail and quality of ...

Deloitte

Oracle Gen AI Manager

Denver, CO · On-site

Deloitte Oracle Generative AI Architect Managers help clients delineate strategy and vision, design ... Effective written and verbal communication skills * Meticulous attention to detail and quality of ...

Palnar

ONLY W2 | AI Engineer@ Denver, Co

Denver, CO · On-site

... other generative AI tools. The ideal candidate will be able to design, develop, and deploy AI ... Knowledge of ML pipelines, APIs, and prompt engineering. Excellent problem-solving, communication ...

Themesoft, Inc.

Lead Data Scientist

Denver, CO · On-site

... AI, Generative AI, Large Language Models (LLMs), and Google Cloud AI services with a strong ... writing production-grade code. Key Responsibilities • Define and execute the architecture ...

US Bank

Data Scientist

Denver, CO · On-site

$111K - $131K/yr

Experience with Generative AI, Prompt Engineering, and LLM optimization. * Knowledge of Retrieval-Augmented Generation (RAG) frameworks. * Experience with Azure AI, Azure OpenAI, AWS AI Services, or ...

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Generative Ai Prompt Writing information

What is generative AI prompt writing?

Generative AI prompt writing involves crafting effective instructions or queries, known as prompts, to guide artificial intelligence models like ChatGPT or DALL-E in producing desired outputs. Prompt writers must understand how these models interpret language and structure their prompts to achieve specific results, whether that's generating text, images, or other creative content. This role requires creativity, technical understanding, and iterative testing to refine prompts for optimal performance. Effective prompt writing can significantly enhance the quality and relevance of AI-generated content.

What are some common challenges faced by generative AI prompt writers in ensuring high-quality outputs?

Generative AI Prompt Writers often encounter challenges such as crafting prompts that yield accurate, relevant, and unbiased responses from AI systems. Balancing creativity with clarity is key, as overly vague or complex prompts can lead to inconsistent outputs. Additionally, prompt writers must stay updated with evolving AI model behaviors and regularly experiment to refine their techniques, ensuring outputs meet project goals and ethical standards. Collaboration with developers, product teams, and subject matter experts is also crucial to continuously improve prompt effectiveness.

What are the key skills and qualifications needed to thrive as a generative AI prompt writer, and why are they important?

To thrive as a Generative AI Prompt Writer, you need strong skills in creative writing, critical thinking, and a solid understanding of AI language models, often supported by experience in content creation or computational linguistics. Familiarity with AI platforms such as OpenAI's GPT, prompt engineering tools, and basic programming or scripting knowledge are typically required. Exceptional communication, attention to detail, and adaptability help individuals craft effective prompts and collaborate with interdisciplinary teams. These skills ensure prompts are clear, relevant, and optimized for desired AI outputs, directly impacting the effectiveness and reliability of AI-generated content.

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Generative Ai Prompt Writing jobs near you

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

Wiselink Global Inc

Denver, CO • On-site

Other

This job post has expired 2 days ago. Applications are no longer accepted.

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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