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# Forward Deployed AI Engineer

- **Company:** On behalf of Next Deavor
- **Location:** New York, NY, United States
- **Experience:** Expert
- **Salary:** $160,000.0 - $185,000.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Cloud Computing, Data Systems, Software Debugging, Python (Programming Language), Software Engineering, Data Streaming, TypeScript, Large Language Models
- **Published:** June 13, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=3e63401f406030e0

## About the Role

Do you have experience in Software engineering?, 5+ years writing production software, including customer-facing or deployment-heavy roles

Proficiency in a general-purpose language (for example Python or TypeScript)

Comfortable with APIs, cloud, and data systems

Experience building automation or LLM agents that ran in production (not just demos)

Strong communication skills and ability to earn trust of engineers and executives

Ability to move quickly and deliver finished work independently

Here's What Else Might Help You Out

Built LLM agent workflows or internal tooling at a startup

Experience in regulated industries (financial services, healthcare, insurance)

Early-stage / 0-to-1 startup experience

## Description

You will help build and deploy AI-native compliance enforcement for enterprise communications, directly impacting how the organization prevents risky AI messages before they send. You will work closely with engineering, product, and customer stakeholders to embed solutions into customer stacks. Hybrid (3 days onsite) in the New York City area.

Here's How You'll Make an Impact on the Team

Build internal AI agents and automation to increase team leverage and reduce headcount needs

Turn customer onboarding into a repeatable, mostly automated process

Embed with early enterprise customers and integrate the product into their stacks

Deploy clean, working solutions and hand back stable deployments to customers

Debug live issues across APIs, data flows, and model behavior and fix root causes


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