About the Role
Join a small engineering team at an early-stage AI infrastructure company focused on reinforcement learning and AI evaluation. You will tackle urgent, ambiguous technical challenges for AI research organizations and data partners, helping unblock deployments and turn recurring problems into reusable tools.
What You'll Do
Diagnose ambiguous technical problems and clarify what needs to be done.
Own technical deployment requests from triage through completion for external partners and internal teams.
Build tools and one-off pipelines to solve urgent customer and partner problems.
Coordinate with research and go-to-market teams to unblock deployments.
Balance speed and quality when requirements are unclear and turnaround is urgent.
Document recurring issues and convert manual work into reusable tools and processes.
What We're Looking For
Two to four years of experience in applied research engineering, forward-deployed engineering, or a similar hands-on technical role.
A technical educational background and strong generalist AI engineering skills.
Proficiency in Python, Docker, and Linux environments.
Experience with benchmarks and evaluations for AI agents and reinforcement learning training data, including sound judgment about task realism, rubric reliability, and useful trajectories.
Research engineering experience alongside deployment work, with a record of owning technical requests from triage to completion.
Strong debugging skills across code, data, and environments, plus experience building tools or pipelines for urgent problems.
Comfort working directly with technical customers, vendors, and cross-functional teams, including during production or deployment issues.
Ability to work independently amid ambiguity, exercise good judgment around speed, correctness, and security, and communicate effectively across time zones.
Experience in an early-stage startup and a habit of producing careful, original technical work.
Compensation & Benefits
Base salary: $100,000 to $170,000 USD annually. Visa sponsorship is available.
Location
On-site in Singapore, Singapore.