At least 3 years of engineering or technical delivery experience, including customer-facing work.
Experience independently scoping and delivering complex systems in ambiguous, constrained environments.
Ability to write production-grade code in Python, TypeScript, or a similar technology stack, with understanding of API design, system integration, and security boundaries.
Experience building or deploying LLM-driven systems such as RAG, agents, or tool calling, and understanding how model behavior affects business experience.
Ability to make sound, timely decisions in high-pressure customer-site environments.
Ability to communicate technical matters clearly and professionally with customer business, IT, compliance, risk-control teams, and management.
Ability to identify financial-sector risks including permissions, auditability, hallucinations, and incorrect operations, and address them without unnecessarily slowing delivery.
Judgment and care appropriate to highly regulated, high-audit securities environments.
Responsibilities
Lead multiple customer deployment projects through the full technical delivery process, from initial prototype to stable production environment.
Safely integrate AI agents, RAG, MCP, and related capabilities into core business systems such as securities trading, accounts, risk control, clearing, and settlement.
Embed with customer teams to understand business needs and drive adoption of delivered solutions.
Define project scope and delivery cadence, and proactively identify and remove risk-control, compliance, and integration obstacles.
Balance scope, speed, and quality, adapting solutions to financial-grade requirements for stability and auditability.
Write code directly at key milestones when delivery progress or issue diagnosis depends on it.
Turn successful approaches into reusable assets such as prompt templates, agent tools, and evaluation sets.
Bring customer feedback to product and engineering teams to drive continuous improvement in model and platform capabilities.
Maintain progress across complex customer, compliance, and internal-team collaboration through clear communication and follow-up.
Desired Qualifications
Experience with securities, wealth management, clearing and settlement, compliance and risk control, or fintech systems.
Practical development experience with MCP servers or clients, OpenAPI, function calling, or agent toolchains.
Familiarity with Hong Kong and U.S. market trading or regulatory requirements such as SFC and HKEX.
Experience with AI security governance, including prompt-injection protection, access controls such as RBAC or ABAC, and audit trails.
Cantonese ability, especially for communication at Hong Kong customer sites.
关于团队 长桥的 AI Agent 工程团队，专注于把大模型能力真正落地到证券行业的生产系统中。我们的工作处在客户交付与核心平台研发的交汇点——不做demo，只对生产环境负责。
关于这个角色 Forward Deployed Engineer（前线部署工程师）将主导 AI Agent 在香港及大湾区券商、财富管理机构等战略客户现场的复杂端到端部署。你将负责需求发现、技术方案界定、系统设计、构建与生产上线的全过程，并直接与客户的业务团队、IT团队和合规风控团队协作。 你的成功标准是客户的真实业务采用(adoption)、可衡量的效率与风险改善，以及能反哺产品与工程路线图的评测驱动反馈。你会与我们的AI产品、Agent工程、证券交易平台、风控、清结算、财富管理、安全合规和交付团队紧密合作。 这个岗位 base 深圳，根据项目阶段安排大湾区客户现场、混合办公或短期出差。