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Associate Ai Agent Developer Jobs in Colorado (NOW HIRING)

AI Engineering, TIFIN.ai

Boulder, CO · On-site

$128K - $168K/yr

Our AI Engineers architect, build, and operationalize these systems at scale, pushing the ... Agent Advisor Copilot. Build a production-grade, multi-agent copilot for financial advisors that ...

... with LLMs -- prompt engineering, agent frameworks, tool-use patterns, or RAG systems. • ... pipelines, and AI agent workflows. • Strong written and verbal communication skills. • ...

Build real-world AI systems and agent workflows used by leading financial institutions-while learning how to ship production-grade AI from day one. You're paired with an AI Engineering leader and ...

The role centers on applied AI and software engineering, including AI agents, MCP servers, context ... Develop APIs and backend services that power agent workflows and connect to internal platforms.

Senior Software Engineer

Denver, CO · On-site

$126K - $166K/yr

As Gravitee expands its AI Agent Management capabilities, you will help build interfaces for ... Open-source software or enterprise developer platforms. Who Thrives at Gravitee Our growth is ...

Senior Software Engineer - Kafka

Denver, CO · On-site

$126K - $166K/yr

As Gravitee expands its AI Agent Management capabilities, you will help build interfaces for ... Open-source software or enterprise developer platforms. Who Thrives at Gravitee Our growth is ...

Senior Software Engineer

Denver, CO · On-site

$126K - $166K/yr

As Gravitee expands its AI Agent Management capabilities, you will help build interfaces for ... developer platforms. Who Thrives at Gravitee Our growth is powered by people who bring passion to ...

Senior Software Engineer - Kafka

Denver, CO · On-site

$126K - $166K/yr

As Gravitee expands its AI Agent Management capabilities, you will help build interfaces for ... developer platforms. Who Thrives at Gravitee Our growth is powered by people who bring passion to ...

Automation (RPA, shop floor), AI & Intelligence (bots, agentic AI, GenAI), and Product Engineering ... Contribute to TTEC's AI Agent Hub architecture: the centralized platform through which employees ...

Automation (RPA, shop floor), AI & Intelligence (bots, agentic AI, GenAI), and Product Engineering ... agent-to-agent communication Own the architectural decisions that govern how AI outputs are ...

AI Solutions Analyst

Greeley, CO · On-site

$90K - $127K/yr

Programming & Scripting: Proficiency in Python for automation, API integration, prompt engineering, and agent logic development. Familiarity with JavaScript or PowerShell is a plus. * Cloud & AI ...

Automation (RPA, shop floor), AI & Intelligence (bots, agentic AI, GenAI), and Product Engineering ... agent-to-agent communication Own the architectural decisions that govern how AI outputs are ...

Automation (RPA, shop floor), AI & Intelligence (bots, agentic AI, GenAI), and Product Engineering ... agent-to-agent communication • Own the architectural decisions that govern how AI outputs are ...

AI Solutions Analyst

Greeley, CO · On-site

$90K - $127K/yr

Programming & Scripting: Proficiency in Python for automation, API integration, prompt engineering, and agent logic development. Familiarity with JavaScript or PowerShell is a plus. * Cloud & AI ...

Showing results 41-60

Associate Ai Agent Developer information

What is the difference between Associate Ai Agent Developer vs Machine Learning Engineer?

AspectAssociate Ai Agent DeveloperMachine Learning Engineer
Required CredentialsBachelor's in CS, AI, or related field; some certificationsBachelor's or Master's in CS, Data Science, or related; advanced certifications
Work EnvironmentTech companies, AI startups, R&D labsTech firms, AI companies, research institutions
Employer & Industry UsageDevelops AI agents, chatbots, virtual assistantsDesigns ML models, algorithms, data pipelines
Common Search & ComparisonOften compared for entry-level AI rolesMore advanced, research-focused roles

The Associate Ai Agent Developer typically focuses on building and maintaining AI agents like chatbots and virtual assistants, often at an entry to mid-level. In contrast, a Machine Learning Engineer develops complex ML models and algorithms, usually requiring more advanced skills and experience. Both roles are vital in AI development but differ in scope, complexity, and specialization.

What are the most commonly searched types of Ai Agent Developer jobs in Colorado?

The most popular types of Ai Agent Developer jobs in Colorado are:

What are popular job titles related to Associate Ai Agent Developer jobs in Colorado?

For Associate Ai Agent Developer jobs in Colorado, the most frequently searched job titles are:

What job categories do people searching Associate Ai Agent Developer jobs in Colorado look for?

The top searched job categories for Associate Ai Agent Developer jobs in Colorado are:

Infographic showing various Associate Ai Agent Developer job openings in Colorado as of August 2026, with employment types broken down into 1% As Needed, 70% Full Time, 26% Part Time, 1% Temporary, and 2% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution.

Senior AI Architect Agentic AI & Customer Experience

Denver, CO • On-site

Aptino
IT Services • 51 - 200 employees

Other

Posted 4 days ago


Job description

Role:Senior AI Architect – Agentic AI & Customer Experience

Location: Denver, CO — Hybrid (3–4 days onsite/week)
Duration:12 Months

Job Overview:

We are seeking a Senior AI Engineer / Architect with strong experience in Generative AI, Agentic AI, LLMs, and Google Cloud to design and develop next-generation Customer Experience (CX) solutions.

The ideal candidate will have a combination of hands-on engineering, AI architecture, agent orchestration, enterprise integration, and customer-experience expertise, with the ability to work closely with technical and business stakeholders.

Key Responsibilities:
  • Design scalable, secure, and enterprise-ready Agentic AI and Generative AI architectures.
  • Build autonomous and semi-autonomous single- and multi-agent systems capable of reasoning, decision-making, and tool execution.
  • Develop LLM applications using Google Vertex AI, Gemini, RAG, prompt engineering, and grounding techniques.
  • Build AI agents using LangChain, LlamaIndex, Semantic Kernel, CrewAI, AutoGen, or Vertex AI Agent Builder.
  • Implement tool/function calling and integrations with APIs, CRM platforms, databases, workflows, and enterprise systems.
  • Develop conversational AI, customer-support copilots, virtual agents, and intelligent automation solutions.
  • Design CX capabilities including contact-center automation, omnichannel conversations, intelligent routing, issue resolution, and personalization.
  • Work with Google Cloud Platform services including Vertex AI, Dialogflow CX, BigQuery, Pub/Sub, Cloud Run, Cloud Functions, and GKE.
  • Design microservices and event-driven architectures and support CI/CD, monitoring, observability, scalability, and reliability.
  • Implement AI guardrails, security, safety, evaluation, and monitoring.
  • Work with vector/search technologies such as Pinecone, FAISS, Weaviate, and Vertex AI Search.
  • Collaborate with product/business stakeholders to understand requirements, define AI use cases, customer journeys, workflows, and business rules.
  • Provide technical leadership, architecture guidance, mentoring, and establish reusable AI engineering practices.
Required Skills:
  • Strong experience with Generative AI, LLMs, Agentic AI, RAG, and prompt engineering.
  • Strong programming experience in Python, Java, or Node.js.
  • Hands-on experience with LangChain, LlamaIndex, CrewAI, AutoGen, Semantic Kernel, or similar agent frameworks.
  • Strong Google Cloud / Vertex AI / Gemini experience.
  • Experience with Dialogflow CX / Agent Builder.
  • Experience with APIs, microservices, distributed systems, and event-driven architecture.
  • Experience with vector databases and semantic search.
  • Experience with CRM, contact-center, conversational AI, or Customer Experience platforms.
  • Strong system-design and solution-architecture skills.
  • Excellent communication skills with the ability to work across engineering, product, and business teams.
Preferred:
  • Experience with Salesforce or other enterprise CRM platforms.
  • Experience building production-grade Agentic AI solutions.
  • Experience with AI governance, responsible AI, evaluation, and security.
  • Experience in customer-service or contact-center transformation.