Forward Deployed Engineer

Lunon; United States; Remote; USD 110,000 - 130,000; Full time

Job summary

Lunon, a NYC-based AI-native consulting firm, seeks a Senior Forward Deployed Engineer to join a fully remote, US-based team. You will craft LLM workflows, build extraction pipelines, deploy solutions, and maintain production stability while learning client business quickly to align plans with reality.

You will demonstrate the work with a repo, demo, or write-up, and use AI coding tools to measure outcomes against system guidance, not just language.

Qualifications

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

Responsibilities

• Build LLM workflows, extraction pipelines, and integrations.
• Deploy and instrument what you ship; fix issues in production.

Skills

LLM workflows

Codebase navigation

Showcase work

AI coding tools

Tools

Repo demo

Writing tests/docs

Job description

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.

Compensation

Base salary $110K–$130K.

Beware of recruitment fraud.

All official correspondence comes from a lunon.ai email address. We will never ask you to share bank account information, cash a check, or purchase equipment as part of the hiring process.