AI Enablement Engineer

BTSE
Hong Kong
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningExperience: 3+ yearsSkills: ["Stakeholder management","Communication","Documentation","Training facilitation","Collaboration"]

Partner with department heads, stakeholders, and engineering teams to identify workflow pain points and deliver tailored AI solutions across BTSE. Build reusable AI skills, prompt templates, and training materials, and measure adoption via KPIs. Enable developers with Claude Code, MCP integrations, and agentic workflows that connect to internal systems through REST APIs, while ensuring governance, documentation, and alignment with security and compliance requirements.

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FursaFursa
BTSE
BTSE
6 hours ago

AI Enablement Engineer

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 6 hours agoStatus: Live

Job Summary

Partner with department heads, stakeholders, and engineering teams to identify workflow pain points and deliver tailored AI solutions across BTSE. Build reusable AI skills, prompt templates, and training materials, and measure adoption via KPIs. Enable developers with Claude Code, MCP integrations, and agentic workflows that connect to internal systems through REST APIs, while ensuring governance, documentation, and alignment with security and compliance requirements.
Location: Hong Kong
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Partner with department heads and business stakeholders to identify workflow pain points, assess AI applicability, and deliver tailored AI solutions using Google Gemini and Claude Enterprise.
  • •Build and maintain reusable AI artefacts, including AI skills, prompt templates, and custom instructions, and extend support across functions like finance, compliance, operations, and customer support.
  • •Plan and deliver AI training sessions, workshops, and onboarding materials for business and technical audiences; track adoption metrics and report progress to management.
  • •Embed with engineering teams to coach developers on AI-assisted development, including Claude Code usage, prompt patterns, and MCP server integrations to improve productivity.
  • •Ensure AI solutions comply with security policies, data handling standards, and regulatory obligations; maintain documentation, governance artefacts, and approved tool/integration usage guidelines.

Pay and Benefits

Perks:Health Insurance

Key Requirements

  • •3+ years of experience in a technical role (e.g., solutions engineer, developer advocate, technical consultant, or software engineer) with strong focus on AI/ML tooling or enterprise enablement.
  • •Hands-on experience with Claude Enterprise (claude.ai) and/or the Anthropic API, including system prompts, tool use, and multi-turn conversations.
  • •Practical knowledge of Google Gemini for Workspace (Docs, Sheets, Gmail, Meet) and ability to guide end users in applying it to business tasks.
  • •Ability to design and build reusable AI skills, custom instructions, and prompt templates tailored to business functions like finance reporting, compliance summaries, and customer support.
  • •Programming proficiency in at least one language (Python, Java, Go, or JavaScript) and familiarity with REST APIs to build proof-of-concept integrations and automations.
Experience:3+ yearsFintech
Skills:Stakeholder managementCommunicationDocumentationTraining facilitationCollaboration
Languages:EnglishChinese
Tech Stack:Google GeminiGoogle WorkspaceClaude EnterpriseAnthropic APIClaude CodeModel Context Protocol (MCP)REST APIsPythonJavaGoJavaScriptRAGPgvectorChromaConfluence

Company Brief

BTSE
BTSE operates a cryptocurrency exchange and digital asset trading platform offering spot, futures, margin trading, and institutional custody solutions, focused on liquidity, security, and a broad range of crypto and fiat trading pairs for retail and institutional clients.
Industry: Trading Platforms
Company Size: Medium (51 to 250 employees)
Growth: Growth Stage Startup
Founded: 2018
WebsiteLinkedIn