Sr. AI Engineer

  • Denver, CO
  • Posted 60+ days ago | Updated 14 days ago

Overview

On Site
$120,000 - $180,000
Full Time
No Travel Required
Able to Provide Sponsorship

Skills

LLM
RAG
GO
Golang
ML
Tersorflow
Keras
PyTorch
agentic
MCP Servers

Job Details

Senior AI Engineer (Agentic AI / Automation)

Salary Range: $120,000 – $180,000 annually
Location: Denver, CO 

Our Direct Client is on a mission to digitally transform the supply chain — empowering businesses to become more efficient, sustainable, and intelligent through cutting-edge AI. Our platform enables automation and decision-making at scale, driving real-world impact across logistics, transportation, and commerce.

We’re not just optimizing — we’re reimagining how humans and machines collaborate.


About the Role

We’re looking for a Senior AI Engineer with a true Agentic AI background — someone who’s built agents in production, not just read about them. If you’re passionate about creating intelligent systems that can reason, orchestrate, and reduce “human things,” this role is for you.

In this high-impact position, you’ll design and deploy AI agents that can build, manage, and optimize other agents — automating workflows and scaling human efficiency. You’ll collaborate with an incredible engineering team to push the boundaries of how AI can transform real-world operations.

This is a hands-on engineering role — no time for training wheels. You’ll hit the ground running, designing, coding, and deploying intelligent automation that makes an immediate impact.


What You’ll Do
  • Build, deploy, and iterate on Agentic AI systems — agents that can collaborate, learn, and automate workflows.

  • Orchestrate existing agents to build new agents (yes, agents that build agents).

  • Integrate and optimize workflows using ClaudeAILangGraphAutogen, and similar frameworks.

  • Work extensively with Python to develop production-grade AI applications.

  • Implement Retrieval-Augmented Generation (RAG) pipelines for dynamic reasoning and contextual responses.

  • Develop on top of platforms like MCP Servers and other orchestration frameworks.

  • Collaborate cross-functionally with Product and Operations teams to automate key business processes.

  • Design systems that “reduce human things” — freeing up people to focus on high-value work.


What You Bring
  • 5+ years of experience as a software or AI engineer in fast-paced environments.

  • Hands-on experience building and deploying AI agents in production environments.

  • Deep proficiency in Python (must be able to write production-quality code).

  • Strong understanding of Agentic AIRAGLangGraphClaudeAIAutogen, or related frameworks.

  • Solid grasp of AI orchestration — how agents interact, collaborate, and execute workflows.

  • Experience building on MCP Servers or similar multi-agent coordination platforms.

  • Strong architectural understanding of modern AI systems.

  • A self-starter mindset — you thrive in autonomy, deliver results quickly, and adapt fast.

  • (Bonus) Experience in supply chain, logistics, or workflow automation domains.

Compensation & Benefits:
We offer a competitive salary range of $120,000-$180,000, along with an excellent benefits package, including:

  • Health, Dental, and Vision Insurance
  • 401k with company matching
  • Company-paid life and short-term disability insurance
  • Paid parking or transit pass
  • Relocation assistance (when applicable)
  • Modern downtown Denver office space
  • Daily coffee, tea, drinks, and snacks
  • Team happy hours and other perks

Equal Opportunity Employer
We are committed to fostering an inclusive workplace and are an Equal Opportunity Employer.

Additional Information:
This job description is not exhaustive and may evolve over time. Duties and responsibilities may be adjusted based on business needs.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.