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Conversational Ai Developer Jobs in Colorado (NOW HIRING)

Senior Software Engineer - Metadata

Denver, CO · On-site

$126K - $166K/yr

  • Medical

  • PTO

... Claude Code, and conversational AI - to accelerate development and to author and review SDLC ... Familiarity with the analytics engineering workflow and the dbt ecosystem The compensation range ...

New

... 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 ...

Senior Partner Development Manager

Denver, CO · On-site +1

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... 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 ...

... Conversational AI products enabling increased productivity and magical experiences for our ... Collaborate with product managers, engineers, and other stakeholders as a specialist and subject ...

New

AI/ML Computational Science Manager

Denver, CO · On-site

$94K - $293K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Collaborate with stakeholders to engineer innovative solutions for new system roll-outs ... Minimum of 1 years of experience in building Conversational AI applications using cloud-based ...

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 ...

Senior Applied AI/ML Scientist

Denver, CO · On-site

$180K - $225K/yr

... Conversational AI products enabling increased productivity and magical experiences for our ... engineering, model training, validation, and deployment. * Participate in code reviews, testing ...

AI Process Consultant

Denver, CO · On-site

$120K - $150K/yr

... conversation through post-deployment adoption. This is a hands-on, client-facing strategy role ... Partner with an AI Engineer throughout the build, translating client requirements into technical ...

Sr. Machine Learning Engineer

Denver, CO · On-site

$107K - $147K/yr

Who We Are Looking For We're hiring a Senior Machine Learning Engineer to design and ship the next generation of voice and conversational AI agents within Realm-X. This role helps define AppFolio ...

CO · On-site

$107K - $147K/yr

Who We Are Looking For We're hiring a Senior Machine Learning Engineer to design and ship the next generation of voice and conversational AI agents within Realm-X. This role helps define AppFolio ...

Senior Software Architect - .Net/Python

Lakewood, CO · On-site

$112 - $229/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Design and implement AI‑powered solutions including conversational AI, retrieval‑augmented ... Mentor architects, developers, and technical leads while fostering a culture of innovation ...

New

Comfortable using tools like Azure DevOps or GitHub Actions to automate build-test-deploy processes ... Knowledge of designing conversation flows, topics, tools, and using Copilot's advanced features ...

Showing results 21-40

Conversational Ai Developer information

What are the key skills and qualifications needed to thrive as a conversational AI developer?

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:

Infographic showing various Conversational Ai Developer job openings in Colorado as of August 2026, with employment types broken down into 78% Full Time, 19% Part Time, and 3% Contract. Highlights an 67% Physical, 4% Hybrid, and 29% Remote job distribution.

Senior Software Engineer - Metadata

Fivetran

Denver, CO • On-site

$126K - $166K/yr

Full-time

Medical, PTO

Posted 2 days ago

New


Job description

From Fivetran's founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We're proud that more organizations continue to leverage our technology every day to become truly data-driven.
About Us
Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data.
Together, we're delivering the data infrastructure layer that helps organizations move, transform, and trust their data - from the moment data moves, through every transformation, to the context teams and AI systems rely on.
Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions.
As we bring our teams and technology together, we're building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It's an exciting time to join us: we're creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact.
During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites.
About the Role
Fivetran and dbt Labs is building data pipelines to power the modern data stack for thousands of companies.
We're looking for a senior software engineer to join our Metadata team, which owns the metadata layer of the dbt platform - the discovery API, catalog, lineage, and run history services that let customers understand, trust, and act on what their data is doing.
You'll own the design and delivery of features end to end, working across high-throughput APIs and data models to make them faster, more reliable, and more capable. You'll write and review designs, raise the quality bar in code review, use the latest AI tools, and collaborate closely with product and QE to deliver work that scales.
Technologies You'll Use
Python, Rust, GraphQL, Postgres, Snowflake, Kafka, Kubernetes, Docker, AWS, GCP, Datadog
What You'll Do
  • Design and implement features and performance improvements across the Metadata team's services - discovery API, catalog, lineage, and run history
  • Develop, maintain, and test high-quality, maintainable code, and optimize critical paths for performance
  • Write technical designs for feature-level work, actively seek feedback, and clearly explain the trade-offs of your decisions
  • Participate in and review technical designs and pull requests, providing constructive feedback to the team
  • Improve test coverage with comprehensive unit tests and refactor code to drive down tech debt
  • Troubleshoot and debug production issues, and follow up on incidents with post-mortems and mitigation plans
  • Break features into tasks, structure and execute your own project plans, and contribute to sprint and feature planning
  • Collaborate with product managers, QE, customer support, and peers to deliver the best product with high quality, performance, and scalability
  • Participate periodically in the on-call rotation, and be mindful of security throughout your work
  • Use AI tooling - IDE assistants like GitHub Copilot, coding agents like Claude Code, and conversational AI - to accelerate development and to author and review SDLC artifacts such as TDDs, PRDs, post-mortems, and test plans

Skills We're Looking For
  • 5+ years of experience in the software industry with a passion for solving complex software engineering problems, including designing and building backend services and reusable components from the ground up
  • Experience working with distributed systems and cloud computing concepts
  • Demonstrated ability to write well-structured, performant, and well-tested code
  • Ability to independently lead feature-level software and design work that satisfies project requirements, and to clearly explain design trade-offs
  • Can identify design flaws in existing systems and propose improvements
  • Experience with code reviews, design, troubleshooting, and testing
  • Proficiency in a modern backend or systems language such as Python, Java, C++, or C#
  • Hands-on experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes)
  • Experience with continuous integration tooling such as BuildKite, and familiarity with observability tools like Datadog or Grafana is a plus
  • Fluent in using AI code assistants and coding agents to generate and investigate code, and conversational AI (e.g. Claude, ChatGPT) to research, author, review, and synthesize SDLC artifacts
Bonus Skills
  • Experience in data processing (ETL, ELT) and/or cloud-based data platforms
  • Experience building or working with metadata, catalog, lineage, or discovery/search systems
  • Experience with GraphQL APIs and high-throughput, multi-tenant data services
  • Familiarity with the analytics engineering workflow and the dbt ecosystem

The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role. Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process.
Denver Pay Range
$139,869-$167,849.50 USD
Perks and Benefits
  • 100% employer-paid medical insurance*
  • Generous paid time-off policy (PTO), plus paid sick time, inclusive parental leave policy, holidays (including a year end Global Week of Rest), and volunteer days off
  • RSU stock grants*
  • Professional development and training opportunities
  • Company virtual happy hours, free food, and fun team-building activities
  • Monthly cell phone stipend
  • Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents.

*May vary by country and worker type - please reach out to your recruiter for more information
Click here to learn more about Fivetran's Benefits by Region.
We're honored to be valued at over $5.6 billion, but more importantly, we're proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream. Read about us in Forbes.
Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities.
To learn more about Fivetran's culture and what it's like to be part of the team, click here and enjoy our video.
To learn more about our candidate privacy policy, you can read our statement here.
We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form. We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.