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Senior AI Enablement Engineer

RemoteGeorgia only
Published
Role
Fullstack
Experience
Senior
Company size
Mid-size
GEL 13.9k–GEL 16k/mo
Check eligibility

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

No BS summary

Senior hands-on full-stack engineer with 7+ years in product environments, strong Node.js/TypeScript, and deep practical knowledge of agentic coding tools like Claude Code, Cursor, and Codex. Must be in Georgia, remote, fluent in English C1, and able to coach engineers while building internal AI integrations from prototype to production.

Core skills

Node.jsTypeScriptAgentic coding tools

Required skills

Relational databasesDocument databasesClaude CodeCursorCodexMCPLLMsPromptingRAGOrchestrationAgentic flowsAI securityCI/CD

Optional skills

OpenTelemetryPrometheusGrafanaLokiWorkersDurable ObjectsKV

Required languages

English Fluent / C1 Russian mentioned in highlights; English C1 required in requirements.Russian Fluent

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: 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.
  • 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.
  • Actively use AI in day-to-day work, identify where AI can change the shape of problems in your function, and grow fluency as the tools evolve.

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 (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.
  • 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: 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
  • Private medical insurance for the employee and their family
  • 24 paid vacation days per year
  • 18 paid public holidays per year
  • English learning courses
  • Relevant professional education
  • Gym or swimming pool
  • Home Office Setup Assistance: the company offers assistance with purchasing furniture (office chair, office desk, monitor) and other items to create a comfortable workspace
  • Co-working
  • Remote working
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Details

Apply routeGreenhouse
GEL 13.9k–GEL 16k/mo