AI-Driven Deployment Engineer

Compunnel, Inc.; Minneapolis, Northern (MN, KY); Hybrid; USD 120,000 - 170,000; Full time

Job summary

Compunnel, Inc. in Minneapolis seeks a hands-on engineer to build AI agents and automation harnesses as core deliverables, spanning frontend, backend, data, and infra with AI tooling.

You will deploy in AWS, work with Databricks, React/TypeScript on the frontend and Python/Node.js on the backend, and shape data pipelines and analytics surfaces for non-engineers. The role emphasizes taking rough ideas to deployed software with minimal handoffs, evaluating model outputs, and owning architectural

Qualifications

• Experience building AI-powered applications and agents.
• Strong frontend and backend development skills across modern stacks.
• Experience with data pipelines and Databricks is a plus.
• Experience with AWS and modern BI tools.

Responsibilities

• Build and ship AI agents and automation harnesses as core deliverables.
• Use tool use/function calling and multi-turn context management.
• Evaluate non-deterministic model output as a first-class discipline.
• Take rough ideas to deployed software with minimal handoffs.
• Design agent skills and internal AI-assisted workflows.
• Move across frontend, backend, data engineering, and infra in sprints.
• Design and maintain data pipelines and analytics surfaces on Databricks and AWS.
• Work with product managers and stakeholders to push back on scope.
• Own architectural decisions for your product area.
• Leave the codebase simpler than you found it.

Skills

React

TypeScript

Python

Node.js

REST APIs

GraphQL

Event-driven

AI tooling

Databricks

PySpark

Delta Lake

Tableau

Streamlit

Tools

Databricks

AWS

Notebooks

Streamlit

Job description

Compunnel, Inc. in Minneapolis seeks a hands-on engineer to build AI agents and automation harnesses as core deliverables, spanning frontend, backend, data, and infra with AI tooling.

You will deploy in AWS, work with Databricks, React/TypeScript on the frontend and Python/Node.js on the backend, and shape data pipelines and analytics surfaces for non-engineers. The role emphasizes taking rough ideas to deployed software with minimal handoffs, evaluating model outputs, and owning architectural