1 день назад
AI Enablement Engineer
111 000 - 176 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
AI Enablement Engineer (AI infrastructure and developer enablement): Building and improving Smart AI journeys, reusable skills, paved paths, and infrastructure for internal AI-assisted development with an accent on user enablement, AI workflows, and reliable development environments. Focus on translating recurring employee needs into roadmap improvements, integrating models and APIs, troubleshooting AI development workflows, and creating reusable solutions and guidance.
Location: Remote, United States
Salary: $111,000–$176,000 per year, depending on compensation tier, level, and location; equity and bonus included.
Company
provides self-hosted, agent-ready development workspaces that help enterprises run secure, governed human and AI-driven development workflows.
What you will do
- Partner with employees using Smart AI to understand their workflows, answer technical questions, and remove development blockers.
- Translate recurring user needs into requirements and execute the Smart AI roadmap.
- Build and improve reusable AI journeys, skills, templates, system instructions, and paved paths.
- Improve the internal vibe-coding environment, including integrations, connectors, APIs, model access, and supporting infrastructure.
- Prototype solutions with Claude Code and other AI-assisted development workflows.
- Host office hours and workshops while creating documentation, examples, and guidance for Smart AI capabilities.
Requirements
- 3+ years of experience working in technology.
- Engineering experience or meaningful hands-on experience building with tools such as Claude Code.
- Understanding of how software is built, orchestrated, and deployed.
- Ability to learn new tools independently, identify user roadblocks, and build practical solutions.
- Strong communication skills across different levels of technical expertise.
- Ability to move between requirements gathering, implementation, debugging, and systems-level problem solving.
Nice to have
- Startup, entrepreneurial, business analysis, learning and development, or developer relations experience.
- Familiarity with , Gitpod, DevPod, or GitHub Codespaces.
- Experience supporting an internal developer platform, AI enablement program, developer community, or technical center of excellence.
- Familiarity with Model Context Protocol, API integrations, and connections to Slack, GitHub, Salesforce, or internal databases.
- Experience creating technical workshops, documentation, examples, or enablement programs.
Culture & Benefits
- Remote work for candidates in the United States.
- Equity and bonus opportunities in addition to base compensation.
- Interview process designed to be completed in two to four weeks when schedules allow.
- Conversational interviews do not permit AI assistance; AI tooling is permitted for take-home assessments when its use is disclosed.
- Human-led hiring decisions supported by AI tools for application review and interview note-taking.
Hiring process
- Interview process includes conversations with individual contributors, managers, and senior leaders.
- AI assistance is not permitted during conversational interviews.
- AI tooling may be used in take-home assessments if the extent of use is disclosed.
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