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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 Nov 4, 2026. First seen by Alion on Nov 4, 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.
Backed by TU Berlin

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.

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