Senior AI Enablement Engineer
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Job Description
AI Enablement Engineer at Fundraise Up, empowering engineering teams by enabling AI-assisted development. Collaborating with engineers to drive effective adoption of AI tools and practices.
Responsibilities:
- Enablement & coaching — work directly with engineers through 1:1s, pair programming, workshops, office hours, and cohorts to raise their effectiveness with AI-assisted development: prompting, workflow design, and model/tool selection. Identify under-adoption and lift teams up to the standard.
- Best-practice propagation — capture what works (and what fails) in one team and systematically transfer it: living best-practice guides, prompt libraries, troubleshooting playbooks, and an internal AI knowledge base and skills registry.
- Scale through champions — stand up and support a network of embedded AI champions so enablement scales past a single person.
- Unblocking & feedback loop — be the go-to when engineers get stuck with AI tooling. Proactively tour teams to surface blockers early, aggregate them into patterns, and escalate systemic issues to leadership.
- Internal integrations & tooling — build internal AI integrations and reusable tooling hands-on (Node.js/TypeScript, MCP) — from prototype to production independently, including auth, access control, security review, and CI/CD.
- Evaluation & scouting — run structured evaluations of AI tools, models, and internal integrations; monitor the fast-moving landscape (Claude Code, Cursor, Copilot/Codex, new model releases) and deliver curated, actionable recommendations.
- Measurement & impact — define and track adoption and productivity metrics by team, tool, and individual. Build dashboards on real usage and output — adoption/active-usage rate, assistant acceptance rate, PR throughput and cycle time — with a quality guardrail (change failure rate) so speed never comes at the cost of quality. Reference frameworks: DX Core 4, DORA.
- Cross-functional partnering — partner with security/compliance on safe-by-design guardrails, and with GTM to translate field needs into internal enablement and feed adoption patterns back.
Requirements:
- Senior, hands-on engineer with a strong full-stack background — 7+ years shipping in a product-driven environment.
- Proficiency in Node.js/TypeScript for building services and integrations, with working knowledge of relational and document databases.
- Deep, hands-on fluency with agentic coding tools (Claude Code, Cursor, Codex) — how they work internally, not just how to use them — and with the end-to-end AI-assisted development workflow.
- Track record of taking internal integrations from prototype to production independently — design, authn/authz, deployment, security review, CI/CD.
- Experience building integrations against third-party APIs and agent-tooling protocols (e.g., MCP).
- Working knowledge of GenAI building blocks: LLMs, prompting, RAG, orchestration, agentic flows, and AI/tooling security.
- Strong teaching, facilitation, and technical-writing skills — able to explain complex topics to engineers at different levels and produce guides, workshops, and walkthroughs.
- Cross-functional operating skill — comfortable influencing without authority and coordinating with IT, DevOps, security, and GTM.
- Ability to structure ambiguous, open-ended problems autonomously and drive them to completion, distilling many inputs (1:1s, feedback, surveys) into prioritized action.
- English proficiency C1 sufficient for written and verbal technical communication with external and internal audiences.
Benefits:
- 31 days off
- 100% paid telemedicine plan
- Home Office Setup Assistance: the company offers assistance with purchasing furniture (office chair, office desk, monitor) and other items to create a comfortable workspace
- English learning courses
- Relevant professional education
- Gym or swimming pool
- Co-working
- Remote working
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