Senior AI-Native Forward-Deployed Engineer (Remote)

Lunon

New York (NY)

Remote

USD 120,000 - 180,000

Full time

6 days ago
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Job summary

Lunon, an AI-native consulting firm based in New York City, is hiring a Forward Deployed Engineer. You will join a small, fast-moving team and work directly with clients to understand business problems, decide what to build, and ship production-grade AI features end to end.

You will own projects from discovery through production, building LLM workflows, data extraction, and agents that act on real records. The role emphasizes ownership, clear technical reasoning, and delivering measurable

Qualifications

  • You've owned a production system end to end, including when it broke.
  • You've shipped LLM features that real users depend on.
  • You've worked at a company with a high engineering bar and know what good looks like.
  • You've changed what you built because a stakeholder pushed back.
  • You can explain a technical decision to a CEO and to a junior engineer in the same meeting.
  • You use AI coding tools every day and judge the result by the system and its output, not the language.

Responsibilities

  • Sit with the client's team, find where AI moves their numbers, and decide what ships first.
  • Design and build the systems: LLM workflows with human review, extraction from messy business data, and agents that act on real records.
  • Run it in production. Reliability is yours.
  • Say no to work that won't pay back.
  • Hand it off so the client's team can run it on their own.

Skills

Production system ownership
LLM features shipped
Engineering excellence
Stakeholder alignment
Explain technical decisions
AI coding tools

Job description

Lunon, an AI-native consulting firm based in New York City, is hiring a Forward Deployed Engineer. You will join a small, fast-moving team and work directly with clients to understand business problems, decide what to build, and ship production-grade AI features end to end.

You will own projects from discovery through production, building LLM workflows, data extraction, and agents that act on real records. The role emphasizes ownership, clear technical reasoning, and delivering measurable

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