Senior AI Engineer (Agentic AI / Automation)

Job Description

Senior AI Engineer (Agentic AI / Automation)

Salary Range :  $120,000 – $180,000 annually

Location :  Denver, CO (Fully Onsite)

About

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   ClaudeAI ,   LangGraph ,   Autogen , 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 AI ,   RAG ,   LangGraph ,   ClaudeAI ,   Autogen , 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.

Interview Process

Step 1 :  Review

Step 2 :  Technical Interview

Step 3 :  Onsite / Deep-Dive Discussion

Why

At our direct client, you’ll join a team of innovators who love solving hard problems with creativity and purpose. We offer :

Competitive compensation ($120k–$180k)

Health, Dental, and Vision Insurance

401(k) with company match

Paid life and short-term disability insurance

Relocation assistance (when applicable)

Downtown Denver office — modern space, coffee, snacks, and energy

Regular team happy hours and a collaborative, forward-thinking culture

Requirements

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 AI ,   RAG ,   LangGraph ,   ClaudeAI ,   Autogen , 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.

Benefits

With our Direct Client, you’ll join a team of innovators who love solving hard problems with creativity and purpose. We offer :

Competitive compensation ($120k–$180k)

Health, Dental, and Vision Insurance

401(k) with company match

Paid life and short-term disability insurance

Relocation assistance (when applicable)

Downtown Denver office — modern space, coffee, snacks, and energy

Regular team happy hours and a collaborative, forward-thinking culture

Requirements

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 AI, RAG, LangGraph, ClaudeAI, Autogen, 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.