AI Engineer

Kanbrick•Nashville, TN

18h

About The Position

Kanbrick is building an AI and technology enablement capability across the firm and our partner companies. This role is the first dedicated hire against that effort. You will identify where AI agents create the most operational leverage across Kanbrick and our partner companies, design and deploy the workflows to capture that leverage, and manage those systems on an ongoing basis. You will work across two surfaces: internally, building the AI tooling, skills ecosystem, and automation infrastructure that makes the Kanbrick team more productive; and externally, embedding with partner company teams to map their highest-value workflows, deploy agent-driven automation, and coach them through adoption. What you build in the first year becomes the template for how AI operations works across the entire portfolio. This role reports to the VP of Technology and AI and is a member of the Kanbrick Business System (KBS) operating team.

Requirements

A builder instinct and a bias toward action and a passion for software engineering, emerging technologies and AI-driven technical acceleration
Autonomous and self-directed; you build working versions before waiting for detailed specs
Hands-on experience in a technology or technology consulting environment, gained through internships or early career roles.
Hands-on experience building with modern AI tooling - LLMs, agents, prompt engineering, MCP servers, skills, and CLI-based workflows - in production or experimental settings
Proficiency in Python, TypeScript/JavaScript, or both, with comfort in Git, cloud platforms (AWS/Azure/GCP), and API integrations
Strong written and verbal communication skills - comfortable presenting to leaders and writing documentation in equal measure
Comfort with breadth over depth - this role spans workflow design, agent deployment, system integration, training, and documentation
Alignment with Kanbrick’s mission, values, and long-term builder mindset

Responsibilities

Guide our KBS team leaders through tool development and help them “go the final mile.” That means: embedding a tool directly into a partner company's day-to-day workflow and supporting adoption, turning a promising prototype into a formal, structured, repeatable asset that scales across the portfolio and serving as a technical partner to our team.
Map data flows across business systems, connect existing platforms (CRMs, ERPs, financial tools) via MCP servers and APIs, deploy agents into production with clear human-in-the-loop interfaces, and manage them on an ongoing basis - tracking KPIs, running evals after model or data changes, and iterating on performance.
Formalize and hone Kanbrick's Skills library, accelerate the use of “AI coworking tools”, and build toward a full KBS plug-in suite - a set of tools every operator across the portfolio reaches for by default.
Own the build and curation of the internal AI-enabled projects, tools, and skills repository; turn ad hoc experiments into repeatable, version-controlled, distributable assets; and maintain a partner-facing skills library with documentation that lets teams browse, install, and use tools independently.
Take end-to-end ownership of builds for "Enterprise-Level" software - durable, production-grade systems that scale across our team and select partner companies.
Pressure-test which problems justify enterprise investment, scope architecture and data models, partner with internal stakeholders and outside engineering resources where needed, and shepherd the system from prototype through deployment, adoption, and ongoing operation.