Forward Deployed Engineer
Halluminate
Forward Deployed Engineer
Halluminate
Data research lab creating RL benchmarks
Halluminate is a data research lab building benchmarks and RL environments to push the frontier of AI in knowledge work.
Our first area of focus is economically valuable workflows in financial services and consulting, but we are rapidly expanding into adjacent verticals.
Base: $215–275k · Equity: 0.10–0.20% · Location: San Francisco, 5 days in office
Our FDEs will interface directly with our customers at AI Labs and Enterprises. You will sit in the customer research meetings, understand the intent behind the requests, and create software that drives forward $xMM projects. The work is a mix of client facing, 0 to 1, rapid prototyping, and product scaling with core platform teams. Your engineering will directly support revenue creation and frontier intelligence scaling.
Work directly with frontier AI labs and enterprise customers to understand requirements and what they need from an RL environment
Translate customer requirements into concrete technical specs our platform and project pods can build against.
Build 0→1 — prototype, ship, and iterate on customer-specific environments and tooling before any of it becomes a platform feature.
Use and extend our internal platforms and dev tooling rather than rebuilding them.
Embed with SPL project pods to unblock delivery: integration, technical debugging, and the last-mile problems that decide whether a project lands.
Feed patterns back to the platform team so one-off solutions become reusable capability.
Own technical credibility in customer conversations, from scoping through delivery.
2+ years of experience in consulting or forward-deployed engineering roles for large enterprises with custom software, systems, and requirements
Strong engineering ability paired with genuine comfort interacting directly in front of customers
A track record of 0→1 work: shipping something that did not exist, under ambiguity, without waiting for a spec.
The ability to translate fuzzy customer language into technical requirements, and technical constraints back into plain terms.
Startup speed: iterate quick, ask quick, respond quick, make mistakes quick.
Experience building evals, environments, and benchmarks for AI Agents
Financial services domain exposure (investment banking, private equity, hedge funds).
Former founders or experience at early-stage startups.
Healthcare — Fully covered medical, dental, and vision for you. Subsidized for dependents.
Relocation — $10k+ relocation stipend to help you get to San Francisco.
401(k) — Up to 4% employer match.
Food — Free breakfast, lunch, and dinner while working.
Health — Free gym membership.
Transportation — Free Ubers and Waymo rides to and from the office.
Visa sponsorship — We sponsor visas, including H-1B.
Data research lab creating RL benchmarks
Halluminate builds benchmarks and reinforcement learning environments to advance AI for knowledge work. It creates computer-use and tool-use environments that train frontier AI models on real finance and consulting tasks, such as investment banking, private equity, and consulting work. A flagship benchmark, Westworld Finance Diligence Bench, contains 88 problems that simulate a complete company acquisition due-diligence process, with content written and reviewed by practicing deal professionals. The company differentiates itself by delivering domain-specific, practitioner-authored tasks and end-to-end workflows across financial services and consulting, and by expanding into adjacent verticals through data-driven RL environments. Its goal is to raise AI performance on real-world knowledge-work tasks and broaden benchmarks to cover more industries, supported by a 2026 Series A funding round led by Oak HC/FT and investors like Y Combinator.
Explore more opportunities at Halluminate