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Agentic Developers Jobs in Colorado (NOW HIRING)

EchoStar

Senior Agentic AI Engineer

Englewood, CO

$116K - $158K/yr

The Sr. Agentic AI Engineer role exists to lead technical onboarding of users, teams, and data domains onto EchoStar's enterprise Databricks platform on AWS. This role solves problems in external ...

jobr.pro

Chief Technology Officer

Longmont, CO · On-site

$220 - $350/hr

AI‑first engineering: developing and embedding an agentic programming philosophy across IOG - establishing how engineers and AI agents work together to build and ship at pace in an agent‑driven ...

IO Global

Chief Technology Officer

Longmont, CO

They shape how IOG builds in an AI-first world, embedding an agentic programming philosophy that makes AI a genuine force multiplier across every team. And they grow the people who make all of this ...

IO Global

Chief Technology Officer

Longmont, CO · On-site

$250 - $300/hr

AI‑first engineering: developing and embedding an agentic programming philosophy across IOG - establishing how engineers and AI agents work together to build and ship at pace in an agent‑driven ...

IO Global

Chief Technology Officer

Longmont, CO · On-site

AI-first engineering: developing and embedding an agentic programming philosophy across IOG - establishing how engineers and AI agents work together to build and ship at pace in an agent-driven world.

IO Global

Chief Technology Officer

Longmont, CO · On-site

AI-first engineering: developing and embedding an agentic programming philosophy across IOG - establishing how engineers and AI agents work together to build and ship at pace in an agent-driven world.

IO Global

Chief Technology Officer

Longmont, CO

AI-first engineering: developing and embedding an agentic programming philosophy across IOG - establishing how engineers and AI agents work together to build and ship at pace in an agent-driven world.

Prologis

Senior Cloud & AI Engineer

Denver, CO

$107K - $147K/yr

AI & Agentic Automation * Identify high-friction operational workflows and redesign them using AI, automation, and platform engineering patterns. * Build agentic and event-driven workflows for ...

Prologis, Inc.

Senior Cloud & AI Engineer

Denver, CO · On-site

$107K - $147K/yr

AI & Agentic Automation * Identify high-friction operational workflows and redesign them using AI, automation, and platform engineering patterns. * Build agentic and event-driven workflows for ...

Programmers.io

AI Engineering

Denver, CO · On-site

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 ...

Ombud

Senior Full Stack AI Engineer

Denver, CO · Hybrid

The work splits across two domains: building the agentic engine itself (LlamaIndex / agent orchestration / tool calling / evaluation pipelines) and the ML data engineering that supports it ...

Ombud

Senior Full Stack AI Engineer

Denver, CO · On-site

The work splits across two domains: building the agentic engine itself (LlamaIndex / agent orchestration / tool calling / evaluation pipelines) and the ML data engineering that supports it ...

Seneca Resources Company, LLC

A.I. Engineer

Denver, CO · On-site

$70/hr

AI Engineer (Machine Learning / LLMs / Agentic AI) Location: Merrifield, VA (Hybrid or Remote for Highly Qualified Candidates) (Remote in AK, CA, NJ, or PA) Position Status: Contract w2 Pay Rate: $70 ...

Ombud

Senior Full Stack AI Engineer

Denver, CO · Hybrid

The work splits across two domains: building the agentic engine itself (LlamaIndex / agent orchestration / tool calling / evaluation pipelines) and the ML data engineering that supports it ...

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Agentic Developers information

What are the key skills and qualifications needed to thrive as an agentic developer, and why are they important?

To thrive as an Agentic Developer, you need a solid background in software engineering, AI/ML concepts, and agent-based systems, often supported by a degree in computer science or related fields. Familiarity with frameworks such as LangChain, OpenAI APIs, and experience with cloud platforms and workflow orchestration tools are typically expected. Strong problem-solving, critical thinking, and effective communication skills set top performers apart in this emerging field. These competencies enable Agentic Developers to design, build, and manage intelligent, autonomous agents that deliver innovative solutions and adapt to complex real-world tasks.

What is the difference between Agentic Developers vs Software Engineers?

AspectAgentic DevelopersSoftware Engineers
Required CredentialsBachelor's in Computer Science or related field, coding certificationsBachelor's in Computer Science or related field, coding certifications
Work EnvironmentCollaborative teams, project-based settings, tech companiesDevelopment teams, tech firms, startups, corporate IT departments
Employer & Industry UsageTech startups, software firms, digital agenciesTech companies, software development firms, enterprise IT
Search & Comparison IntentYesYes

Agentic Developers and Software Engineers share similar credentials and work environments, often overlapping in tech companies and startups. However, Agentic Developers typically emphasize a proactive, autonomous approach to project execution, whereas Software Engineers focus more on designing, coding, and maintaining software solutions. Understanding these distinctions helps employers and job seekers align expectations and roles effectively.

How do agentic developers typically collaborate with cross-functional teams to implement autonomous systems?

Agentic Developers often work closely with data scientists, UX/UI designers, and product managers to build and integrate autonomous agents within larger software systems. Collaboration usually involves regular sprint meetings, sharing progress on task automation, and aligning system behaviors with user and business requirements. This multidisciplinary teamwork ensures that agentic solutions are robust, user-friendly, and aligned with organizational goals. Open communication and a willingness to iterate on feedback are key to success in this role.

What is an agentic developer?

Agentic developers are software professionals who design, build, or work with systems that exhibit agency—meaning the system can make autonomous decisions and take actions to achieve specific goals. These developers often focus on creating advanced AI agents, multi-agent systems, or applications that integrate autonomous behaviors. Their work typically involves a mix of programming, machine learning, and system design to enable intelligent, proactive software. Agentic developers are increasingly in demand as AI-driven applications become more common across industries.
What are popular job titles related to Agentic Developers jobs in Colorado? For Agentic Developers jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Agentic Developers jobs in Colorado look for? The top searched job categories for Agentic Developers jobs in Colorado are:
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Agentic Developers jobs near you

Principal Agentic AI Architect - Aurora CO or Meridian, CO

ICR, Inc.

Aurora, CO • On-site

$160K - $210K/yr

Full-time

Medical, Retirement, PTO

Re-posted 25 days ago

Job description

Principal Agentic AI Architect
Aurora, CO or Meridian, CO
Applications will be accepted on an ongoing basis.
Clearance Requirement: Active TS/SCI with Polygraph (Must be current and transferable)
  • Requires US Citizenship
POSITION OVERVIEW
We are seeking a visionary Principal Agentic AI Architect to lead the design and implementation of next-generation AI efforts for the Intelligence Community. In this role, you will define the architectural blueprint for a secure, multi-agent ecosystem that transforms natural language intent into auditable, multi-step operational workflows. You will not just build models; you will engineer collaborative agent teams, governance loops, and dynamic tool integration frameworks using open standards (MCP, A2A). The ideal candidate possesses deep expertise in the enterprise agent frameworks, distributed systems, and Zero Trust security, with a proven track record of deploying autonomous agents in high-stakes, classified environments.
KEY RESPONSIBILITIES
  • Architectural Leadership: Define the end-to-end architecture, leveraging enterprise agent frameworks to enable dynamic, scalable multi-agent teams.
  • Agentic Orchestration: Design complex reasoning loops where specialized agents collaborate, manage shared memory/context, and execute tasks autonomously while maintaining human-in-the-loop control.
  • Governance amp; Safety: Engineer and enforce rigorous quality assurance (groundedness, safety, compliance) prior to result delivery, including automated rework loops.
  • Integration Strategy: Architect the Agent Gateway and Tool Registries to facilitate secure, dynamic discovery and execution of external tools via Model Context Protocol (MCP) and Agent-to-Agent (A2A) standards.
  • Infrastructure Alignment: Lead integration efforts with an enterprise infrastructure platform infrastructure, including secure LLM hosting environment (LLM hosting), identity management system (Identity), and serverless compute environments.
  • Context Management: Develop robust strategies for short-term and long-term memory management to prevent context overflow in complex, multi-turn missions.
  • Observability amp; Ops: Implement comprehensive tracing and metrics to provide full visibility into agent decision paths, tool usage, and lifecycle health.
  • Mentorship: Guide a team of AI engineers and data scientists, fostering a culture of innovation, security-first thinking, and technical excellence.
  • Communication: Primary interface with Government customers on technology, roadmaps, and implementation details. Strong communications and briefing skills and able to communicate complex Agentic AI topics to a non-technical customer.
  • Agility: Flexibility and ability to adapt to evolving requirements and shifting priorities while effectively balancing multiple responsibilities.
REQUIRED SKILLSETS amp; QUALIFICATIONS
Education
  • Required: Master's degree or Ph.D. in Computer Science, Artificial Intelligence, Distributed Systems, or a related technical field.
  • Substitution: Equivalent practical experience (12+ years) in AI architecture and system design may substitute for advanced degrees.
Core Technical Competencies (Must-Have)
  • Agentic Frameworks: Deep, hands-on expertise with enterprise agent frameworks. Must demonstrate understanding of agent state management, handoffs, and collaborative reasoning.
  • LLM Operations: Proven experience deploying and optimizing LLMs in production, including prompt engineering, RAG (Retrieval-Augmented Generation), and model switching strategies.
  • Integration Protocols: Expert-level knowledge of MCP and emerging A2A standards. Experience building custom connectors and gateways is essential.
  • Distributed Systems: Strong background in microservices architecture, event-driven design, and containerization (Kubernetes/Docker).
  • Memory amp; Context: Demonstrated ability to architect vector databases, graph databases, and hybrid memory systems for maintaining long-term agent context.
  • Security amp; Compliance: Extensive experience implementing Zero Trust architectures and standards-based authentication amp; access controls in high-security environments.
Experience Requirements
  • Minimum 10+ years of total software engineering experience.
  • Minimum 5+ years specifically focused on AI/ML system architecture.
  • Minimum 3+ years designing and deploying autonomous or semi-autonomous agent systems in production environments.
  • Demonstrated experience working within the U.S. Intelligence Community (IC) or Department of Defense (DoD) on classified programs (TS/SCI).
PREFERRED SKILLS (Nice-to-Have)
  • Experience with enterprise infrastructure platform ecosystem tools (secure LLM hosting environments, identity management systems).
  • Contributions to open-source AI projects or standards bodies (e.g., contributing to MCP specs).
  • Experience with Agents-as-Code (AaaC) paradigms.
  • Proficiency in Python, Go, or Rust for high-performance agent runtime development.
Salary Range: $160,000 - $210,000
This position offers a comprehensive benefits package that includes company equity, retirement plan, company-paid health care benefits, a flexible paid time off policy, and opportunity for a raise and bonus during the year.
ICR, Inc. considers several factors when extending job offers, including but not limited to candidates’ key skills, relevant work/military experience, education, training, certifications and work location.
ICR is proud to be an equal opportunity employer and considers qualified applicants for employment without regard to race, color, creed, religion, national origin, sex, sexual orientation, gender identity and expression, age, disability, veteran status, or any other protected factor.

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