Engineering and Research

Posted 4 Days Ago
Be an Early Applicant
2 Locations
In-Office
Senior level
Artificial Intelligence • Machine Learning • Software • Financial Services
The Role
Design, deploy, and run production AI systems for service businesses: build agent orchestration, connectors, deployment infrastructure, evals and training pipelines; integrate with legacy ERPs; embed with portfolio teams to drive adoption and measure business impact.
Summary Generated by Built In

We are transforming the services economy with AI.
Long Lake acquires service business and transforms how they operate through a shared AI platform, forward-deployed engineers, and a world-class M&A / operations team.

We're backed by General Catalyst, Alpha Wave, Elad Gil, and others, with billions in permanent capital raised. We are not a private equity fund but a permanent capital vehicle with an extremely long-term view. In the words of Warren Buffett, "our favorite holding period is forever."

The Role

Most AI companies build demos. We build and run operating systems for real businesses. This is a rare chance to own the full arc: design the system, deploy it into production, watch operators rely on it every day, and iterate until it's irreplaceable.

What You’ll Do

Some engineers at Long Lake focus on our AI platform: agent orchestration, real-world evals, connectors, data infrastructure. Others spend more time embedded with portfolio companies, running discovery, shipping vertical tools, automating workflows and driving adoption.

Problems you might work on:

  • Turning a workflow where someone spends hours copying data between systems, QA-ing outputs, and producing documents into a background agent that runs in minutes and flags exceptions for review

  • Writing the integration between a modern agent and a legacy industry ERP with no clean API, and making it reliable enough to run core business operations

  • Building the deployment infrastructure that makes rolling AI into a new business repeatable rather than bespoke: the orchestration, connectors, and reliability layer that every new workflow inherits

  • Going onsite with a team, expanding adoption beyond the early power users, measuring impact, and shipping the changes that make daily use feel obvious

  • Building the evals, feedback loops, and training pipelines that teach AI to reliably complete specific jobs, turning capable models into genuine AI coworkers

What Success Looks Like
  • You've shipped something into daily production use, not a pilot or a proof of concept, and the team would notice if it went down tomorrow

  • A workflow that used to take a person hours now runs as a background agent, and the hours have been redirected to higher-leverage work

  • Something you built once has been reused across multiple portfolio companies, because you designed for the second deployment, not just the first

  • You can point to a specific business metric (throughput, cycle time, error rate) that moved because of work you led

 
 

Equal Opportunity
Long Lake is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic under applicable law. We are committed to providing reasonable accommodations for candidates with disabilities throughout the hiring process - please let us know if you need any.

Skills Required

  • Shipping AI systems into daily production use
  • Designing and implementing agent orchestration and deployment infrastructure
  • Building evals, feedback loops, and training pipelines for model reliability
  • Integrating modern agents with legacy ERPs and unreliable APIs
  • Working onsite with portfolio companies and driving product adoption
  • Measuring and improving business metrics (throughput, cycle time, error rate)
  • Designing reusable solutions for repeatable deployments across companies
Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
30 Employees
Year Founded: 2023

What We Do

Long Lake is a permanent capital vehicle dedicated to transforming the services economy with AI. The company acquires service businesses and transforms their operations using a shared AI platform, forward-deployed engineers, and a world-class M&A and operations team. Through its horizontal AI platform, Nexus, Long Lake automates workflows across diverse verticals to drive revenue growth and improve financial performance.

Similar Jobs

Hybrid
New York City, NY, USA
6 Employees

Anthropic Logo Anthropic

Engineering Manager

Artificial Intelligence • Natural Language Processing • Generative AI
In-Office
2 Locations
2500 Employees
405K-850K Annually

Consumer Reports Logo Consumer Reports

Senior Research Engineer - Experimental Engineering

Big Data • Consumer Web • eCommerce • Information Technology • Social Impact • Database • App development
Hybrid
Yonkers, NY, USA
525 Employees
115K-160K Annually

Anthropic Logo Anthropic

Engineering Manager

Artificial Intelligence • Natural Language Processing • Generative AI
In-Office
2 Locations
2500 Employees
405K-850K Annually

Similar Companies Hiring

Hanover Park Thumbnail
Artificial Intelligence • Fintech • Software • Financial Services
New York, New York
42 Employees
Kepler  Thumbnail
Fintech • Software
New York, New York
6 Employees
Onshore Thumbnail
Artificial Intelligence • Fintech • Software • Financial Services
New York, New York
60 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account