Forward Deployed Engineer (FDE) – AI-Powered Software Engineering

Newtone consulting; Hong Kong; On-site; HKD 180,000 - 320,000; Full time

Job summary

Newtone consulting seeks a Forward Deployed Engineer to join an AI-powered software delivery team in Hong Kong. Early-career engineers who enjoy solving technical challenges and building applications with AI coding assistants will thrive.

You'll work with architects and client teams to translate business needs into production-ready solutions, build APIs, automate workflows, and support cloud deployments and CI/CD. Collaboration across disciplines is essential.

Qualifications

• 0-2 years of software engineering experience, including internships or projects.
• Degree in CS, Engineering, or related field, or equivalent practical experience.
• Hands-on knowledge in cloud technologies, DevOps, APIs, Git, debugging, testing.

Responsibilities

• Build with AI: develop, configure, and enhance applications using AI coding assistants while ensuring code quality.
• Deliver client solutions: collaborate with clients to understand technical needs and implement practical solutions.
• Develop & integrate: build APIs, automate workflows, and connect apps with enterprise systems and cloud services.
• Troubleshoot & optimize: investigate issues, debug apps, and apply effective fixes.
• Deploy & operate: support cloud deployments, CI/CD pipelines, environment config, monitoring, and reliability.
• Collaborate across disciplines: work with solution architects, product designers, and engineers in AI-enabled delivery.

Skills

Problem-solving

Communication

Adaptability

Internship/project experience

Education

Bachelor's degree in Computer Science, Engineering, or related discipline

Tools

AWS

Azure

Google Cloud

Git

Docker

CI/CD

Job description

We are looking for a Forward Deployed Engineer (FDE) to join an innovative consulting delivery team embracing a new generation of AI-powered software engineering.

This is an opportunity for an early-career engineer who enjoys solving technical challenges, building applications, and leveraging AI coding assistants and autonomous agents to accelerate software delivery.

Rather than focusing solely on writing code, you will work closely with architects, engineers, and client teams to turn business requirements into production-ready solutions.

What You’ll Do

• Build with AI: Leverage AI-powered IDEs and coding agents to develop, configure, and enhance applications while ensuring code quality, security, and maintainability.
• Deliver client solutions: Collaborate directly with clients to understand their technical needs and implement practical solutions.
• Develop & integrate: Build APIs, automate workflows, and connect applications with enterprise systems, SaaS platforms, and cloud services.
• Troubleshoot & optimize: Investigate technical issues, debug applications, and implement effective fixes.
• Deploy & operate: Support cloud deployments, CI/CD pipelines, environment configuration, monitoring, and reliability.
• Collaborate across disciplines: Work alongside solution architects, product designers, and engineers in a modern, AI-enabled delivery team.

What We’re Looking For

• 0-2 years of software engineering experience, including relevant internships or hands‑on projects.
• A degree in Computer Science, Engineering, or a related discipline, or equivalent practical experience.
• Hands‑on knowledge in at least one of the following:
• Cloud technologies: AWS, Azure, or Google Cloud
• DevOps & automation: CI/CD, Docker, containers, scripting, or infrastructure automation
• Familiarity with APIs, Git, debugging, testing, and software development fundamentals.
• Strong problem‑solving skills, adaptability, and the confidence to communicate with technical and business stakeholders.

Experience experimenting with AI-assisted development tools such as GitHub Copilot, Cursor, Claude Code, or other agentic development platforms.

We're particularly interested in engineers who are curious about how LLMs and autonomous coding agents are transforming the software development lifecycle.