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Senior AI Enablement Engineer

RemoteTürkiye only
Published
Role
Fullstack
Experience
Senior
Company size
Mid-size
$5.4k–$5.8k/mo
Check eligibility

Open to TR only. Set where you work from to check your eligibility.

No BS summary

Senior full-stack engineer with 7+ years, strong Node.js/TypeScript, and deep hands-on fluency with agentic coding tools like Claude Code, Cursor, and Codex. Must be based in Turkey, remote, and fluent in English and Russian. Needs experience taking internal AI integrations from prototype to production and coaching engineers on AI-assisted development.

Core skills

Node.jsTypeScriptAgentic coding tools

Required skills

Relational databasesDocument databasesClaude CodeCursorCodexMCPLLMsPromptingRAGOrchestrationAgentic flowsAI/tooling securityCI/CD

Optional skills

OpenTelemetryPrometheusGrafanaLokiWorkersDurable ObjectsKV

Required languages

English Fluent / C1; required=trueRussian Fluent; required=true

What you'll do

  • 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 through 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 with Node.js/TypeScript and 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 including Claude Code, Cursor, Copilot/Codex, and 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 such as change failure rate so speed never comes at the cost of quality.
  • Partner with security/compliance on safe-by-design guardrails.
  • Partner with GTM to translate field needs into internal enablement and feed adoption patterns back.

What they require

  • 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 such as Claude Code, Cursor, and 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 such as 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 such as 1:1s, feedback, and surveys into prioritized action.
  • English proficiency C1 sufficient for written and verbal technical communication with external and internal audiences.
  • Fluent in English and Russian.
  • You should already be using AI meaningfully in your work and understand where it adds value and how it can improve the way you operate.
  • Preferred: Familiarity with observability practices and stacks — instrumenting usage and building dashboards.
  • Preferred: Experience deploying on edge or serverless compute.
  • Preferred: Experience building and operating an internal plugin/package registry or marketplace with automated publishing.
  • Preferred: Prior developer-experience, developer-advocacy, or internal-tooling role.
  • Preferred: Instructional-design or learning-science experience — building durable learning, not one-off demos.
  • Preferred: Experience running technical workshops, hackathons, or enablement programs at organizational scale.
  • Preferred: Experience in a distributed, remote-first engineering organization.

Benefits

  • A strong, collaborative product team that owns what it builds
  • Clear product vision and access to real customer feedback from global nonprofit leaders
  • Flat structure: no politics, just great work with great people
  • Transparent company culture-we share how we’re growing, where revenue comes from, and what’s next
  • Long-term focus: we offer equity options and value sustained, meaningful contribution
  • 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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Apply routeGreenhouse
$5.4k–$5.8k/mo