Applied AI Engineer

Praecipio Consulting•Chicago, IL

About The Position

Applied AI Engineer You are a builder. Your deliverable is a running system, not a framework or a strategy deck. Praecipio delivers AI-native services to enterprise clients: agentic workflow deployments, integrations, and hands-on builds. We also run the same transformation internally, building the agentic systems that change how our own delivery, sales, and operations teams work. Everyone on this team does both. The internal work is where we prove what is possible; the client work is where it pays. You will work alongside a technical lead who defines the architecture and an enablement lead who drives adoption. Your job is the part in between: making new systems exist.

Requirements

  • A minimum of seven years building a software engineering foundation, successful candidates will have a strong software engineering background.
  • Proficiency in core technical disciplines that have become essential for AI best practices: DevOps, Quality Assurance (QA), Linux/Unix System Administration (specifically, being comfortable in a non-Windows environment).
  • Demonstrated understanding of APIs, including REST, SOAP, and other forms of interaction.
  • A minimum of two years of experience in Extract, Transform, and Load (ETL) processes or similar data platform work.
  • Ability to work with Git platforms (e.g., GitHub, GitLab, Bitbucket) and manage repositories.
  • Proven ability to successfully create software using coding agents (e.g., Claude Code, Codex) rather than just manual coding.
  • Demonstrated experience maintaining ongoing software projects rather than just building one-off applications, including experience collaborating with other contributors.
  • Experience in professional services or client-facing roles, with a focus on bleeding-edge technology rather than outdated playbooks.

Nice To Haves

  • An Atlassian background is helpful but not required.

Responsibilities

  • Design and build agentic systems for enterprise clients: workflow deployments, integrations, and production AI builds
  • Build internal agentic workflows across Praecipio's delivery, sales, and operations functions
  • Support advisory engagements where hands-on execution is required, sitting with clients and shipping alongside them
  • Bring what you learn from every build back into the practice's shared patterns and methodology
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