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Contract Ai Prompt Engineer Jobs in Colorado (NOW HIRING)

Senior AI Automation Engineer

Denver, CO

$107K - $140K/yr

... contract management, or procurement systems. Experience designing reusable AI reference architectures, accelerators, prompt libraries, multi-agent workflows, tool-using agents, context engineering ...

AI Data Analytics Engineer

Fort Collins, CO · On-site

$113K - $135K/yr

Prompt engineering, model selection, and build-versus-buy tradeoffs balancing quality, latency, and cost. * Responsible and secure use of data and AI appropriate for a regulated payments environment.

Prompt engineering, model selection, and build-versus-buy tradeoffs balancing quality, latency, and cost. * Responsible and secure use of data and AI appropriate for a regulated payments environment.

... contract review, due diligence, drafting, research, and summarization. * Partner directly with ... Hands-on experience with workflow builders, prompt libraries, RAG pipelines, and AI evaluation ...

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 ...

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 ...

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 ...

Senior AI Automation Engineer (Gen AI Developer) Location: Denver, CO Duration: 6-12+ months Role ... Developing and maintaining LLM-powered solutions| including prompt engineering| agent orchestration ...

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 ...

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 ...

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 ...

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 ...

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Contract Ai Prompt Engineer information

What is a contract AI prompt engineer?

Contract AI Prompt Engineers are professionals hired on a temporary or project basis to create, refine, and optimize prompts for artificial intelligence models, such as large language models (LLMs). Their main responsibility is to ensure AI systems understand and respond accurately to human input by designing effective queries and instructions. They work closely with clients or in-house teams to tailor prompts for specific business needs, improve model outputs, and sometimes help develop prompt libraries or documentation. As contractors, they typically work for a set duration or until a project is completed, providing specialized expertise without a long-term employment commitment.

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

To thrive as a Contract AI Prompt Engineer, you need a solid understanding of natural language processing (NLP), machine learning concepts, and experience in designing effective prompts for AI models, often supported by a relevant degree or portfolio. Familiarity with AI platforms like OpenAI GPT, prompt engineering tools, and scripting languages such as Python is typically required. Strong problem-solving abilities, attention to detail, and clear communication skills help you collaborate with stakeholders and refine AI outputs. These skills are crucial to ensure the development of accurate, reliable, and user-friendly AI solutions for clients.

What are some common challenges contract AI prompt engineers face when working with diverse clients?

As a Contract AI Prompt Engineer, you'll often work with clients from various industries, each with unique goals and expectations regarding AI-generated content. One common challenge is quickly adapting to different brand voices and technical requirements while ensuring prompts produce accurate and relevant outputs. Additionally, managing project timelines and communication remotely can require strong organizational skills. Collaborating effectively with cross-functional teams, such as data scientists and product managers, is also essential to deliver optimal prompt solutions.

What are the most commonly searched types of Ai Prompt Engineer jobs in Colorado?

The most popular types of Ai Prompt Engineer jobs in Colorado are:

What are popular job titles related to Contract Ai Prompt Engineer jobs in Colorado?

For Contract Ai Prompt Engineer jobs in Colorado, the most frequently searched job titles are:

What job categories do people searching Contract Ai Prompt Engineer jobs in Colorado look for?

The top searched job categories for Contract Ai Prompt Engineer jobs in Colorado are:

What cities in Colorado are hiring for Contract Ai Prompt Engineer jobs?

Cities in Colorado with the most Contract Ai Prompt Engineer job openings:

Infographic showing various Contract Ai Prompt Engineer job openings in Colorado as of August 2026, with employment types broken down into 73% Full Time, 23% Part Time, and 4% Contract. Highlights an 65% Physical, 3% Hybrid, and 32% Remote job distribution.

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

Denver, CO • On-site

Wiselink Global Inc
IT Services • 11 - 50 employees

Other

Posted 22 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