Forward Deployed Engineer

KBQuest Hong Kong Ltd; Hong Kong; Sur place; HKD 900 000 - 1 300 000; Plein temps

Résumé du poste

KBQuest Hong Kong Ltd seeks a Forward Deployed Engineer to work with client users and technical teams to understand workflows, build prototypes and move validated solutions to production. This is hands-on delivery.

You will code, integrate systems and manage deployment, adoption and handover, balancing business value with security and reliability. GenAI, APIs, SQL, data integration and cloud platforms are valued; on-site work may be required.

Qualifications

• At least 5 years of relevant software engineering or hands-on technical consulting experience.
• Experience with APIs, SQL, data integration and secure development practices.
• Ability to translate customer needs into scoped technical work and collaborate with stakeholders.
• Strong English and Chinese communication; willingness to work on site when required.

Responsabilités

• Partner with client stakeholders to map workflows and set priorities.
• Connect applications and data sources through APIs, SQL and data integration.
• Develop GenAI features and retrieval-augmented solutions; assess quality and safety.
• Apply privacy, security and access controls throughout delivery.
• Establish tests, CI/CD and observability; troubleshoot production issues.
• Run client workshops, communicate trade-offs and hand over documentation.
• Share customer feedback with product and engineering teams.

Connaissances

APIs

SQL

Data integration

App architecture

Authentication

Failure handling

Secure development

GenAI apps

RAG systems

Vector databases

Agent frameworks

LLMs

Docker

Azure

AWS

Google Cloud

Alibaba Cloud

Huawei Cloud

Formation

Degree or equivalent practical experience

Outils

Docker

Azure

AWS

Google Cloud

Alibaba Cloud

Huawei Cloud

Description du poste

As a Forward Deployed Engineer (FDE), you will work with client users and technical teams to understand workflows, build prototypes and move validated solutions into production. This is a hands‑on delivery role, not a pure presales or infrastructure position. You will write code, integrate systems and stay involved through deployment, adoption and handover, balancing practical business value with security, reliability and maintainability.

Key responsibilities

Partner with client stakeholders to map workflows, clarify pain points and agree priorities, acceptance criteria and the business value a solution should deliver.

Connect applications, enterprise systems and data sources through APIs, SQL and reliable data integration, including validation, error handling and clear interface contracts.

Develop LLM‑enabled features, AI agents and retrieval‑augmented generation (RAG) where appropriate; evaluate quality, grounding, failure modes and human oversight before release.

Apply privacy, security and access controls throughout delivery, including data handling, least‑privilege access, secrets management and safeguards against inappropriate AI outputs or actions.

Establish tests, code review, CI/CD and observability; troubleshoot production issues and improve reliability, latency and cost without losing sight of user needs.

Run client workshops and demonstrations, communicate trade‑offs and delivery risks, and provide documentation, training and a practical handover to the teams supporting the solution.

Turn delivery lessons into reusable components and implementation patterns, and share customer feedback with product and engineering colleagues.

About you

At least 5 years of relevant software engineering, solutions engineering or hands‑on technical consulting experience, with practical delivery of production systems.

Practical experience with APIs, SQL, data integration and application architecture, including authentication, failure handling and secure development practices.

Ability to translate ambiguous customer needs into scoped technical work, explain decisions clearly and collaborate effectively with technical and non-technical stakeholders.

Sound engineering judgment, ownership of delivery and a willingness to learn unfamiliar tools. A relevant degree or equivalent practical experience is welcome.

Professional verbal and written communication in English and Chinese (Cantonese and/or Mandarin) and willingness to work with clients on site when required.

Experience building and evaluating GenAI applications, including retrieval, vector databases, agent frameworks and responsible use of LLMs.

Delivery experience on Enterprise Cloud environments e.g. Azure, AWS, Google Cloud, Alibaba Cloud or Huawei Cloud, and familiarity with Docker.

Understanding of business workflows, operational change and user adoption.

Solid analytical thinking and problem‑solving skills.