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Lead AI Engineer

  • Office
  • 6+ years

Salary

$175,000 - 300,000/ year

AI summary

For members

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Description

About the Role

Join an early-stage product engineering team building enterprise contract intelligence software in the legal technology sector. You will help develop a customer-facing AI product and shape its technical direction from end to end.

Responsibilities

  • Architect, build, and own the user-facing application across frontend and backend systems.
  • Develop and ship production AI agents that support complex, multi-step contract workflows.
  • Collaborate with engineering, product, and design teammates to turn product needs into reliable software.
  • Set engineering practices, contribute to technical strategy, and guide roadmaps.
  • Define and implement measures of success for the team and its products.
  • Initiate and lead technical projects in a fast-moving, ambiguous environment.

Requirements

  • At least 8 years of software engineering experience, including 6 or more years building AI products professionally.
  • Experience building production software at a SaaS startup, ideally at an early or growth stage, and owning development end to end within a small team.
  • A track record shipping customer-facing, multi-step agentic products that use tools and orchestration, rather than only RAG chatbots or internal tools.
  • Strong Python and SQL/Postgres skills, plus hands-on experience with JavaScript, React, or another modern frontend framework.
  • Proficiency across multiple programming languages, with experience using databases, Git, CI/CD, and agent frameworks.
  • Exposure to Docker, Kubernetes, and cloud platforms such as AWS, Azure, or GCP.
  • A computer science degree and broad engineering experience across AI domains; experience with LLM monitoring, evaluation, or model training is a plus.
  • Comfort working through challenging, ambiguous problems and demonstrating career growth through sustained roles.

Conditions

Base salary: $175,000 to $300,000 annually. Visa sponsorship is available.

On-site, five days per week in New York, NY.

Where you’d work

From the office, 4 or more days a week in the office

The office

Visa sponsored

About the company

Company hidden

Office in New York, United States

Your chances

Still hiring, not crowded yet, and you'd be among the first.

  • 19 checks run
  • 8 good signs
  • 2 red flags

Still hiring?

11 checks

Actively hiring

In its favour4

  • Still on the company's own careers site, checked 1 h agoModerate evidence
  • Found in the last 48 hours, before the big job boardsModerate evidence
  • Specific about the basics: pay, place, level, stack and contract all statedSlight evidence
1 moreFewer
  • States its salarySlight evidence

Against it1

  • Listed again after an earlier listing of the same role closedModerate evidence

How crowded?

8 checks

Low

In its favour4

  • In its Early Window: not on the big job boards yetStrong evidence
  • Asks for 8+ years: a narrow poolModerate evidence
  • In the office in New York: only people nearby can take itSlight evidence
1 moreFewer
  • In the office 4 or more days a week: most applicants want lessSlight evidence

Against it1

  • Sponsors visas: applicants from abroad compete for it tooSlight evidence

Fits Me

How well does this role fit you?

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  • Must-haves
Check My Fit
Details13 facts · Role, Location, Compensation, Employment
Tech stack
  • React
  • Python
  • SQL
  • PostgreSQL
  • AWS
  • Kubernetes
  • Docker
  • JavaScript
  • Azure
  • CI/CD
  • LLMs
  • RAG
Seniority
Lead
Type
Full-time
Specialty
ML
Region
United States
Pay period
Annual
Show 7 more factsShow less

Role

Category
Data & Analytics
Specialty
ML
Seniority
Lead
Experience
8+ years
Tech stack
  • React
  • Python
  • SQL
  • PostgreSQL
  • AWS
  • Kubernetes
  • Docker
  • JavaScript
  • Azure
  • CI/CD
  • LLMs
  • RAG

Location

Work model
Office
Region
United States
Office
  • New York, United States
Days in the office
4 or more days
Visa sponsorship
Sponsored

Compensation

Salary
$175,000 - 300,000 / year
Pay period
Annual

Employment

Type
Full-time

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