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We're building a network of Training Engineers we can match to client engagements as they come in. When a project fits your skills and availability, we'll reach out. You'll embed with enterprise engineering teams and help them actually ship with AI tools. Pairing with developers on real tickets, not running workshops.
You'll work directly with engineers and technical leaders at enterprise clients adopting AI-native development.
Pair-program with engineers on real tickets. Run champion sessions. Teach AI tool fluency across Cursor, Claude Code, Codex, and similar platforms.
Build and roll out shared rules, commands, skills, prompt libraries, MCP integrations, and context strategies across teams.
Set up research-plan-implement pipelines, agent workflows, repo guidance files, and pre-PR review flows that fit the client's stack.
Assess CI/CD maturity, dev environment quality, and workflow constraints. Remove adoption blockers before and during rollout.
Spread successful patterns from power users to organization-wide practice. Train cross-functional stakeholders where needed.
Produce runbooks, playbooks, and contribution models so teams maintain and evolve their AI workflows after you leave.
Rolling engagements matched to active client work.
Deep hands-on experience with Cursor, Claude Code, Codex, or equivalent, including rules, skills, custom commands, context management, and agent planning.
Proven ability to customize AI dev environments for production codebases: shared guidance files, prompt patterns, integrations, team-level standards.
Strong engineering background. You can navigate unfamiliar repos quickly and credibly coach engineers in live delivery.
Experience spreading AI-native development across teams using Python, Node.js, React, PHP, .NET, or similar stacks.
Excellent facilitation skills. You can teach senior engineers, enable junior developers, and build trust with leadership.
Familiarity with CI/CD, test automation, code review, security review, and legacy enterprise tooling.
Experience across multiple AI coding tools with a clear POV on portability of workflows and customizations.
Prior involvement in enterprise rollouts, developer enablement, or champion-model adoption for AI tools.
Experience with MCP/server integrations or tooling that connects AI agents to GitHub, Jira, Linear, Confluence, Azure DevOps, or similar.
Track record defining or tracking adoption metrics: throughput, PR volume, cycle time, test coverage, or quality indicators.
Work from anywhere. We're distributed and async-first, with a low meeting culture: typically 1-4 meetings a week.
Performance reviews every quarter with clear paths to raises and bonuses.
Every team member gets Claude Code Max and Codex Pro subscriptions, plus any other AI tool you want to use.
Engineers run the work. No layers of project managers or status meetings between you and the code.