Halluminate is an applied AI and data company building computer-use and tool-use RL gyms to train AI agents on real financial services work — Excel modeling, pitch decks, and everything investment banking, private equity, and hedge funds rely on. We work with frontier labs, graduated from Y Combinator (S25), and raised a seed round to scale the team.
The role
Benefits
Base: $200–275k · Equity: 0.15–0.30% · Location: San Francisco, 5 days in office
Own platform engineering, develop frontier long-horizon RL environments, and help build our engineering org from the ground up.
Responsibilities
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Build our RL environment training and inference infrastructure to support customer usage at scale.
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Research and develop next-generation RL environments — increasingly realistic, long-horizon, and difficult for frontier models.
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Build software that 10–100x’s the quality and throughput of RL environment creation.
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Innovate on synthetic data pipelines to create realistic problems.
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Build platform analytics for environment cost, hours, bottlenecks, and SME management.
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Craft domain-specific verifiers (verifiable rewards for decks, Excel modeling, quantitative trading, and beyond).
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Establish engineering culture and practices from the ground up.
You should have
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Familiarity building evaluations, benchmarks, or RL for AI agents.