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Member of Technical Staff - Forward Deployed Engineer

$215,000–$275,000San Francisco, CAOn-siteFull-time

A customer-facing forward deployed engineer will work with frontier AI labs and enterprise customers to scope, prototype, and deliver custom RL environments and tooling.

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At a glance

Posted base pay

$215K–$275KAbove the median

Midpoint $245K · median $190K

The work

Builds what the customer runs

Balance Mostly building

Project stages

  1. Pre-sales (not covered)
  2. Proof of concept
  3. Implementation
  4. Operations (not covered)
Coding
Writes production code
Builds for
External customers
Level
Senior
Role
Individual contributor

What they ask for

Experience

  • 2+ yearsconsulting or forward-deployed engineering roles for large enterprises with custom software, systems, and requirements

Background

  • Software engineering
  • Forward deployed engineering
  • Consulting

Visa

  • Sponsors visas

Do you meet what the posting states?

The posting asks for 2+ years. How many do you have?

The posting reads as a senior role. What level are you at now?

The job is in San Francisco, CA. Could you work there?

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Conditions

Location
San Francisco, CA
Work arrangement
On-site
Remote work restrictions
San Francisco office, 5 days in office
Employment type
Full-time
Visa sponsorship
Available
Pay
Pay details

$215K – $275K • 0.1% – 0.2% • Salary range is listed for Level 2 (2-5 years of experience).

More like this

The job description from Halluminate

Posted by Halluminate on

About Halluminate

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.

The role

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.

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.

View posting at Halluminate

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About Halluminate

Builds simulated work environments, datasets, and benchmarks to train and evaluate AI agents on complex knowledge-work tasks, initially in financial services.

Series A · 1–10 people

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