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Salary
$100k – $170k per year
Location
In office (Singapore)
Seniority
Junior · 2+ years exp
Visa
Sponsorship offered in the posting
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 21, 2026. First seen by Alion on Oct 20, 2026. Clera scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Clera is a San Francisco company that runs an AI recruiting platform positioned as a talent agent rather than a job board, matching engineers and other technical candidates to roles at venture-backed startups. Its system reads a candidate's background and preferences, then represents them to hiring teams at companies funded by firms such as Andreessen Horowitz, Y Combinator, Index Ventures and General Catalyst, compressing the introduction step that traditional headhunting handles manually. The model is aimed at the segment where recruiter fees are highest and candidate supply is thinnest, and the platform handles screening, scheduling and pipeline tracking for both sides of the match.

About the Role

Join a small engineering team at an early-stage AI infrastructure company focused on reinforcement learning environments, benchmarks, and model evaluation. You will tackle urgent, ambiguous technical challenges for AI research teams and data providers, helping unblock deployments while turning recurring problems into reusable tools.

What You'll Do

  • Diagnose ambiguous technical problems and clarify the underlying needs.

  • Own technical deployment requests from initial triage through completion.

  • Build tools and one-off pipelines to address urgent partner and customer challenges.

  • Coordinate with research and go-to-market teams to unblock deployments.

  • Balance fast turnaround with quality, correctness, and security.

  • Document recurring issues and automate 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 closely related hands-on technical role.

  • Research engineering experience alongside experience delivering technical deployments.

  • Proficiency with Python, Docker, and Linux environments.

  • Experience with benchmarks and evaluations for reinforcement learning training data or AI agents, including sound judgment about task realism, rubric reliability, and useful training trajectories.

  • Ability to debug across code, data, and environments, and to build practical tools and pipelines quickly.

  • Experience working directly with technical customers, vendors, or cross-functional teams, including ownership of urgent production or deployment issues.

  • Ability to work independently in ambiguous, fast-paced settings, with clear communication across time zones.

Compensation & Benefits

Base salary: $100,000 to $170,000 USD annually. Visa sponsorship is available.

Location

On-site in Singapore, Singapore.

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