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Conversational Ai Developer Jobs in Colorado (NOW HIRING)

Checkr

AI Conversation Designer

Denver, CO

... conversational AI agents across modalities, ensuring consistent performance and user experience. * Own the end-to-end lifecycle of assigned AI agents, including prompt engineering, conversation ...

Checkr

AI Conversation Designer

Denver, CO · On-site

$90K - $112K/yr

... conversational AI agents across modalities, ensuring consistent performance and user experience. * Own the end-to-end lifecycle of assigned AI agents, including prompt engineering, conversation ...

Pwc

Conversational AI and Agentic AI - Manager

Denver, CO · On-site

$99K - $232K/yr

... a Conversational AI and Agentic AI - Manager, you will lead the charge in developing innovative ... engineering projects - Utilizing AngularJS frameworks to create dynamic and responsive user ...

Pwc

US Tech - AI Engineering Manager

Denver, CO · On-site

$73K - $244K/yr

As a Manager you will combine engineering knowledge with people leadership to deliver resilient platforms that integrate cloud infrastructure, conversational AI, data, and enterprise systems. This ...

GEI Consultants

AI Engineer

Denver, CO

$110K - $150K/yr

The AI Engineer is responsible for the development of AI solutions, typically leveraging pretrained ... Connecting Conversation Program with a Focus on Professional Development and Opportunities for ...

GEI Consultants

AI Engineer

Denver, CO · On-site

The AI Engineer is responsible for the development of AI solutions, typically leveraging pretrained ... Connecting Conversation Program with a Focus on Professional Development and Opportunities for ...

Mixpanel

Senior Partner Development Manager

Denver, CO · On-site

... the AI developer ecosystem (LLM platforms, agentics frameworks, vibe-coding tools, MCP Servers) * Technically fluent enough to hold a credible conversation with a CPO or platform team; commercial ...

Mixpanel

Senior Partner Development Manager

Denver, CO · On-site +1

... the AI developer ecosystem (LLM platforms, agentics frameworks, vibe-coding tools, MCP Servers) * Technically fluent enough to hold a credible conversation with a CPO or platform team; commercial ...

Deloitte

Agentic AI Engineer - Healthcare AI

Denver, CO · On-site

This is not AI applied at the margins. It is a ground-up rebuild of the decision-making machinery ... Engineer memory and context management - conversational state, persistent memory, retrieval-aware ...

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Conversational Ai Developer information

What are the key skills and qualifications needed to thrive as a Conversational AI Developer, and why are they important?

To thrive as a Conversational AI Developer, you need a solid background in computer science, natural language processing (NLP), and machine learning, often supported by a relevant degree or certifications. Familiarity with tools like Python, TensorFlow, NLP libraries (such as spaCy or NLTK), and conversational platforms (like Dialogflow or Microsoft Bot Framework) is typically required. Strong problem-solving abilities, creativity, and effective communication skills help developers design intuitive and engaging conversational experiences. These skills are crucial for building AI systems that understand and respond accurately to human language, ensuring user satisfaction and business value.

What is a Conversational AI Developer?

A Conversational AI Developer is a professional who designs, builds, and maintains artificial intelligence systems that enable computers to interact with humans using natural language. These developers create chatbots, virtual assistants, and voice-enabled applications that can understand and respond to user input in a conversational manner. Their work often involves programming, natural language processing (NLP), machine learning, and integrating AI systems with various platforms or devices. They play a key role in improving user experiences through more intuitive, human-like interactions with technology.

What is the difference between Conversational Ai Developer vs Chatbot Developer?

AspectConversational Ai DeveloperChatbot Developer
Required CredentialsProgramming skills, AI/machine learning knowledge, NLP expertiseProgramming skills, basic AI understanding, scripting
Work EnvironmentTech companies, AI startups, enterprise AI teamsCustomer service, marketing, small to medium businesses
Industry UsageDevelops complex conversational systems with AI capabilitiesBuilds rule-based or simple chatbots for specific tasks
Search & Comparison IntentUnderstanding AI-driven conversational systemsCreating basic automated chat interactions

Conversational Ai Developers focus on building advanced, AI-powered conversational systems using NLP and machine learning, often working in tech or enterprise environments. Chatbot Developers typically create rule-based or simple chatbots for customer service or marketing, with less emphasis on AI complexity. While both roles involve programming and scripting, Conversational Ai Developers require deeper AI and NLP expertise for sophisticated interactions.

What are some common challenges Conversational AI Developers face when optimizing chatbot performance?

Conversational AI Developers often encounter challenges such as accurately interpreting user intent, handling ambiguous or unexpected queries, and maintaining natural, engaging dialogue flows. Balancing the need for robust natural language understanding with system efficiency and scalability is also key. Additionally, integrating the chatbot with existing platforms and ensuring data privacy can require careful planning and cross-functional collaboration.
What are popular job titles related to Conversational Ai Developer jobs in Colorado? For Conversational Ai Developer jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Conversational Ai Developer jobs in Colorado look for? The top searched job categories for Conversational Ai Developer jobs in Colorado are:
Conversational Ai Developer jobs near you
Infographic showing various Conversational Ai Developer job openings in Colorado as of July 2026, with employment types broken down into 68% Full Time, 23% Part Time, and 9% Contract. Highlights an 59% Physical, 3% Hybrid, and 38% Remote job distribution.

AI Conversation Designer

Checkr

Denver, CO

Other

Re-posted 10 days ago

Job description

About the team/role

We are seeking a skilled and detail-oriented AI Conversation Designer to join our Service Design team. This role is central to managing and optimizing our conversational AI agents across multiple modalities, directly impacting customer experience and operational efficiency. The ideal candidate will have hands-on experience with conversational AI platforms, a strong understanding of conversation design principles, and the ability to analyze performance data to drive continuous improvement. This role requires someone who is curious, adaptable, and passionate about leveraging AI to deliver seamless, human-centered support experiences.

What you'll do

  • Lead the development, optimization, and ongoing management of conversational AI agents across modalities, ensuring consistent performance and user experience.
  • Own the end-to-end lifecycle of assigned AI agents, including prompt engineering, conversation design, testing, and deployment.
  • Drive measurable improvements in agent performance through analysis of key performance indicators and conversation analytics.
  • Partner with cross-functional teams to identify automation opportunities and implement solutions that reduce contact volume while maintaining service quality.
  • Develop and maintain comprehensive documentation for AI agent workflows and processes.
  • Monitor and troubleshoot AI agent behavior, diagnosing issues across conversation flows and escalating technical issues as needed.
  • Implement and iterate on dynamic response content, including conditional logic, personalization, and multimedia elements within conversational interfaces.
  • Lead special projects as required to support evolving AI capabilities and business needs.

What you bring

  • 3-5 years of experience in conversational AI, knowledge management, chatbot administration, or similar roles managing customer-facing digital channels.
  • Hands-on experience with conversational AI platforms and understanding of NLU/NLP concepts.
  • Proficiency in conversation design principles, including intent mapping, utterance training, and fallback strategies.
  • Strong analytical skills with the ability to interpret conversation logs, performance dashboards, and customer feedback to drive optimization.
  • Excellent written communication skills and ability to craft clear, concise bot responses for diverse audiences.
  • Proven ability to collaborate cross-functionally and translate business requirements into actionable solutions.
  • Comfort navigating ambiguity and managing multiple priorities in a fast-paced environment.
  • An A-player mindset with a strong bias for action: you raise the bar, move with urgency, stay resilient through ambiguity, and take ownership to deliver meaningful outcomes.

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