Applied AI Engineer

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.

What You'll Do

• 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

What You Bring

• A minimum of seven years building a software engineering foundation, successful candidates will have a strong software engineering background.
• Technical Disciplines: 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)
• API Proficiency: 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.
• Git Platform Proficiency: Ability to work with Git platforms (e.g., GitHub, GitLab, Bitbucket) and manage repositories.
• Coding Agent Experience: Proven ability to successfully create software using coding agents (e.g., Claude Code, Codex) rather than just manual coding.
• Project Maintenance: Demonstrated experience maintaining ongoing software projects rather than just building one-off applications, including experience collaborating with other contributors.
• Client-Facing/Professional Services: Experience in professional services or client-facing roles, with a focus on bleeding-edge technology rather than outdated playbooks.
• An Atlassian background is helpful but not required. We hire practitioners for build depth and apply it across our full delivery portfolio, Atlassian engagements included.
• Why This Role
• Most AI jobs are either research or slideware. This one is shipping: real systems, real users, at a company where AI-native delivery is the whole strategy rather than a side bet.

About Praecipio

Praecipio helps enterprises turn technology investments into business outcomes. We are an Atlassian consultancy with a fast-growing AI practice, and a Select partner in the Claude Partner Network Services Track.