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Frontier Development Engineer (FDE) – AI & Financial Services

halluminate United State
Visa Sponsorship Relocation
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AI Summary

Build custom reinforcement learning (RL) environments and tooling for AI agents in financial services, bridging customer needs with technical execution. Work closely with AI labs and enterprises to prototype, scale, and embed solutions in high-impact projects. Requires 2+ years in consulting or forward-deployed engineering with a track record of 0→1 innovation and strong customer-facing technical credibility.

Key Highlights
Direct customer-facing role interfacing with AI labs and enterprise clients in financial services (investment banking, private equity, hedge funds)
Mix of 0→1 prototyping, platform scaling, and revenue-driving project delivery with minimal ambiguity
Own technical credibility from scoping to delivery, embedding with project pods, and feeding learnings back to platform teams
Key Responsibilities
Collaborate with AI labs and enterprise customers to understand and translate requirements into technical specifications for RL environments
Prototype, ship, and iterate on customer-specific environments and tooling before integrating into platform features
Embed with project pods to unblock delivery, debug technical challenges, and ensure project success
Feed patterns and learnings back to platform teams to convert one-off solutions into reusable capabilities
Maintain technical credibility in customer conversations, from scoping through delivery
Technical Skills Required
Reinforcement Learning (RL) Software Engineering (custom systems, prototyping) Technical Requirements Translation
Benefits & Perks
Fully covered medical, dental, and vision insurance (subsidized for dependents)
$10,000+ relocation stipend for San Francisco
Up to 4% employer 401(k) match
Nice to Have
Financial services domain exposure (investment banking, private equity, hedge funds)
Former founder or early-stage startup experience
Experience building evals, environments, and benchmarks for AI agents

Job Description


About Halluminate

Halluminate is an applied AI and data company building RL gyms to train AI agents on real financial services knowledge work — Excel modeling, pitch decks, and everything investment banking, private equity, and hedge funds rely on.

The role

Base: $200–275k

  • Equity: 0.15–0.30%
  • 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.

Responsibilities

  • 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.

You should have

  • 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

Nice to have

  • Financial services domain exposure (investment banking, private equity, hedge funds).
  • Former founders or experience at early-stage startups.

What we offer

  • 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.

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