AI Support Engineer

present of AI; Singapore; On-site; SGD 60,000 - 90,000; Full time

Job summary

Cognition in Singapore is seeking a Customer & Solutions engineer to tackle hard technical problems for customers using Devin and Windsurf in their own setups. The role centers on reproducing unclear bugs, reading logs, and tracing failures across cloud, containers, CI systems, and code.

A strong candidate has about four years in engineering or technical support, solid Linux, Docker, Git, and cloud basics, and writes clearly to both customers and engineers.

Qualifications

• About four years of engineering or technical support experience.
• Strong Linux, Docker, and Git proficiency.
• Ability to write clearly for both customers and engineers.

Responsibilities

• Reproduce unclear bugs from logs and customer setups.
• Trace failures across cloud, containers, CI systems, and code.
• Document findings and contribute to playbooks and automations.

Skills

Linux

Debugging

Technical writing

Customer communication

Tools

Docker

Git

Cloud basics

CI/CD tooling

Job description

Customer & Solutions · Singapore · FullTime · Mid level

This role is about solving hard technical problems for customers who use Devin and Windsurf in their own setups. Much of the day is reproducing unclear bugs, reading logs, and tracing failures across cloud, containers, CI systems, and code. A strong candidate has about four years in engineering or technical support, solid Linux, Docker, Git, and cloud basics, and writes clearly to both customers and engineers.

How it fits the AI era

The product is itself an AI coding agent, so the work involves figuring out why an AI tool behaves differently in messy real environments. AI can help with log reading and spotting patterns, but judgment about root causes, customer trust, and knowing when to bring in engineering stays human. Turning repeated issues into playbooks and automations is also a big part of the job.

How it builds AI experience

The role offers close daily exposure to how AI coding agents and AI-native editors perform in real company setups, including where they struggle. Someone could prepare by using AI coding tools on real projects, noting failure cases, and writing up how they diagnosed them. Working next to the engineers who build these products adds a rare view of how such tools improve.

Worth showing

• Debugging unclear issues from logs
• Linux, Docker, and Git fluency
• Cloud and CI/CD troubleshooting
• Clear customer-facing technical writing
• Scripts that speed up support work

This is our own read, written from the employer's posting and the company's Spotlight. The employer's posting is the source of truth for the role.

About Cognition

Applied AI lab building Devin, an autonomous software engineering agent that plans, writes, debugs, and deploys code