Forward Deployed Engineer

Lunon; New York (NY); À distance; USD 180 000 - 260 000; Plein temps

Résumé du poste

Lunon, an AI-native consulting firm based in New York City, is seeking a Senior Forward Deployed Engineer. You will embed with client teams, build LLM workflows and extraction pipelines, deploy solutions in production, and own what you ship end to end.

The emphasis is on shipping real, measurable AI that improves operations, not just creating decks. This role involves rapid learning of the client’s business, writing tests and docs, and working from a fully remote US base.

Qualifications

• Shipped something with LLMs that users actually used.
• Worked inside a codebase you didn’t write.
• Can show the work: a repo, a demo, or a write-up.
• You use AI coding tools daily and judge results by system output.

Responsabilités

• Build the LLM workflows, extraction pipelines, and integrations the engagement runs on.
• Deploy it, instrument what you ship, and fix what breaks.
• Write the tests, evals, and docs that keep it working after the engagement ends.
• Learn the client’s business fast, and say so early when the plan meets reality.

Connaissances

LLM workflows

Extraction pipelines

AI coding tools

System deployment

Codebase navigation

Outils

Git

AI platforms

Description du poste

Lunon is an AI-native consulting firm in New York City, backed by General Catalyst. Most companies don't need another deck about AI. They need an engineer who can walk in, understand the operation, and ship. That's what we do: we embed engineers inside the business and stay until the software runs without us.

Our open-source research system ranks first on DeepResearch Bench.

The team is young and moves fast. Everyone here has a wide skill set, works with the newest tools as they land, and owns what they ship end to end. Nobody hands you a ticket.

You build most of what ships on an engagement. A Senior Forward Deployed Engineer sets direction. You make it real. First up: helping an ERP company make its product AI-native.

• Fully remote, US-based. Lunon is headquartered in New York City.

What you'll do

• Build the LLM workflows, extraction pipelines, and integrations the engagement runs on.

• Deploy it, instrument what you ship, and fix what breaks.

• Write the tests, evals, and docs that keep it working after the engagement ends.

• Learn the client's business fast, and say so early when the plan meets reality.

What you'll need

Experience matters here. We judge it by what you've shipped and kept running, not by a number of years.

• You've shipped something with LLMs in it that people actually used.

• You've worked inside a codebase you didn't write.

• You can show the work: a repo, a demo, or a write-up.

• You use AI coding tools every day and judge the result by the system and its output, not the language.

Nice to have

Apply even if none of these are true.

• You've built on or integrated with an ERP, CRM, or accounting system.

• You've shipped extraction or search over messy business documents.

• You've shipped a side project to real users and kept it alive.

How we hire

• A 30-minute conversation with the team about what you've shipped and what we're building.

• A technical deep-dive on one system you owned, from the business problem to production.

• A working session on a real client problem with the team.

• References, then an offer. We aim to finish in two weeks.