Forward Deployed Research Engineer
At a glance
Mid-level Solutions & Sales Engineering role at Clera. Singapore · full-time · $150,000–$250,000 base.
growthroles summary, based on the employer's posting.
What you'll do
- Take deployment requests from first review through resolution for external partners and internal teams
- Build targeted tools and pipelines to solve urgent problems for customers, vendors, and partners
- Work with research and go-to-market teams to clear deployment blockers
- Turn repeat issues and manual steps into documented, reusable tools or processes
- Investigate unclear technical failures, clarify the problem, and escalate when security or correctness needs extra care
What you bring
- Two to four years in hands-on applied or research engineering, including research engineering work
- Working knowledge of Python, Docker, and Linux, backed by a technical field of study
- Experience creating or assessing benchmarks and evaluations for reinforcement learning data and AI agents
- Strong debugging across code, data, and environments, including urgent production or deployment incidents
Who this fits
This mid-level role suits an engineer comfortable owning technical work independently when the problem is unclear and time-sensitive. You’ll work on-site in Singapore and engage directly with technical customers, vendors, and cross-functional teams.
From the employer
About the Role
Join a small engineering team at an early-stage AI evaluation infrastructure startup, working on urgent, ambiguous technical challenges for AI research organizations and data vendors. You will own deployments from initial triage through resolution, helping unblock critical work while turning recurring problems into reusable tools and processes.
What You'll Do
Diagnose ambiguous technical problems, ask clarifying questions, and determine the work needed to resolve them.
Own technical deployment requests from triage to completion for external partners and internal teams.
Build tools and one-off pipelines to address urgent customer, vendor, or partner problems.
Coordinate with research and go-to-market teams to unblock deployments.
Balance speed with quality, escalating when correctness or security requires extra care.
Document recurring issues and automate repeated manual work into reusable tools or processes.
What We're Looking For
Two to four years of experience in applied research engineering, forward-deployed engineering, or similar hands-on technical roles, with research engineering experience.
Proficiency in Python, Docker, and Linux, plus a background in a technical field.
Experience building or evaluating benchmarks and evaluations for reinforcement learning training data and AI agents, with sound judgment about task realism, rubric reliability, and useful training trajectories.
Strong debugging skills across code, data, and environments, including experience with urgent production or deployment issues.
Experience working directly with technical customers, vendors, or cross-functional teams, and delivering work independently amid ambiguity.
Early-stage startup experience, strong communication across time zones, and a commitment to careful, original technical work.
Compensation & Benefits
Compensation is USD 150,000 to USD 250,000 annually. Visa sponsorship is available.
Location
On-site in Singapore, Singapore.
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