Frontline Forward-Deployed AI Research Engineer

Clera; Singapore; On-site; SGD 128,000 - 218,000; Full time

Benefits offered by this job

Visa sponsorship

Job summary

Clera in Singapore is seeking an engineering professional to own urgent deployment tasks for AI research and data vendors. You will diagnose ambiguous requests, build tools, and partner with research and GTM teams to unblock deployments across time zones.

Required are 2–4 years in applied research or forward-deployed roles, plus proficiency in Python, Docker, and Linux, with strong debugging skills and a track record of deploying solutions for customers and vendors.

Qualifications

• 2–4 years in applied research engineering, forward-deployed or similar hands-on roles.
• Experience with Python, Docker and Linux environments for deployment and tooling.
• Proven debugging skills across code, data and environments.
• Experience owning deployments and working with technical customers or vendors.
• Strong communication across time zones in a fast-paced startup.

Responsibilities

• Own technical deployment requests from triage through resolution.
• Clarify ambiguous requests, diagnose problems, and propose practical solutions.
• Build tools and pipelines for urgent customer, partner, and internal needs.
• Collaborate with research and go-to-market teams to unblock deployments.
• Balance speed with quality, security, and correctness.
• Document recurring issues and automate manual work into reusable tools.

Skills

Python

Docker

Linux environments

Debugging

Deployment ownership

Cross-time-zone collaboration

Forward-deployed engineering

Tools

Benchmarks & RL evaluations

CI/CD tooling

Job description

Clera in Singapore is seeking an engineering professional to own urgent deployment tasks for AI research and data vendors. You will diagnose ambiguous requests, build tools, and partner with research and GTM teams to unblock deployments across time zones.

Required are 2–4 years in applied research or forward-deployed roles, plus proficiency in Python, Docker, and Linux, with strong debugging skills and a track record of deploying solutions for customers and vendors.