AI Platform Engineer

JobNimbus•Lehi, UT

About The Position

We are obsessed with the hero's journey at JobNimbus. Every person has a hero's journey—Hermione Granger, James T. Kirk, Frodo Baggins, Anna & Elsa, Nacho Libre, and even YOU! This is our “call to adventure” to come check out JobNimbus. What do you have to lose? You might make a few new friends, learn about a sick new company doing some amazing things, and maybe even land a new job! Mission: Transform JobNimbus into an AI-native engineering organization by building production-grade AI infrastructure that unlocks 2–10x productivity, autonomous workflows, and novel capabilities other companies haven’t yet imagined.

Requirements

5+ years of professional software development experience (Python, TypeScript, or similar), with strong platform engineering fundamentals.
Deep hands-on experience with AI coding assistants and LLM APIs — not dabbling, but shipping real production work with AI daily.
Experience building internal developer tools (CLI tools, automation systems, integrations, workflow tooling) that engineers actually adopt and love.
Strong background in CI/CD systems, cloud infrastructure, and developer experience tooling.
Experience designing or integrating agent-based systems, AI workflows, or automation pipelines.
Solid understanding of AI-specific security risks (prompt injection, data leakage, unsafe tool execution) and how to implement guardrails that scale.
Experience driving adoption of new tools in an engineering organization — enabling through quality and value, not mandates.
Ability to measure and communicate impact in business terms (velocity, quality, ROI), not just technical output.
Strong documentation, training, and communication skills — you can turn complex AI infrastructure into something engineers confidently use daily.
Experience evaluating emerging AI tooling with discernment — separating signal from hype and making pragmatic build-vs-buy decisions.
Production-grade mindset — you build reliable, observable, scalable systems, not fragile demos.

Nice To Haves

MCP server experience
Agent framework experience
Security/compliance background
Experience publishing/sharing technical learnings externally

Responsibilities

Design and build the internal AI tooling infrastructure (MCP servers, context systems, and prompt libraries) that makes every JobNimbus engineer 2–10x more effective.
Architect and implement agentic CI/CD workflows where AI agents actively participate in code review, testing, refactoring, and autonomous fix loops.
Create AI-native development patterns (CLAUDE.md standards, repository context infrastructure, integration templates) so our codebases are optimized for AI-assisted engineering by default.
Own the reliability, observability, and production-grade performance of the AI platform — ensuring zero engineer-facing outages and fast, secure access to internal systems.
Build secure AI integrations with strong guardrails against prompt injection, data leakage, and unsafe tool usage — making the secure path the fast path.
Design autonomous workflows (ticket-to-PR pipelines, automated quality gates, AI-assisted testing) that reduce review burden while maintaining or improving defect rates.
Measure and optimize AI adoption across the org — using data to drive improvements in velocity, task complexity progression, and quality.
Train and enable engineers to move from “using AI” to “world-class with AI” through workshops, documentation, coaching, and scalable enablement programs.
Evaluate emerging AI tools with rigor — separating hype from real capability — and recommend build vs. buy decisions that create measurable business value.
Partner cross-functionally with Engineering Managers, Security, Architecture Council, and Platform teams to ensure AI tooling integrates cleanly into our broader ecosystem.
Continuously raise the ceiling of what’s possible — building infrastructure so powerful that novel AI workflows emerge organically from the systems you created.