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# Forward Deployed Engineer

- **Company:** The Standard
- **Location:** New York, NY, United States
- **Experience:** Experienced
- **Salary:** $140,000.0 - $200,000.0
- **Contract:** Internship / Graduate position
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Configuration Management Databases, Python (Programming Language), Open Source Technology, Software Engineering, Systems Integration, TypeScript, Large Language Models, Production Code, Data Management, Data Pipelines
- **Published:** October 26, 2026
- **Apply:** https://www.careerbuilder.com/job-details/forward-deployed-engineer-new-york-ny--da0f2b63-447c-4c6f-babf-14efc654b5a3

## About the Role

Artificial Intelligence (AI), Knowledge Base, Software Development, Machine Tool, Data Management, Identity Data Management, Application Programming Interface (API), Open Source, IT Service Management (ITSM), Technical Consulting, * 2-3 years writing software professionally, or a strong engineering degree plus an internship where you shipped something real.

 * Comfortable in Python and TypeScript, or confident you can be by month two.
 * Experience integrating against third-party APIs and working with other people's data - messy, undocumented, and in production.
 * You build things outside of assigned work: a tool, an app, an open-source contribution, something half-finished you still talk about.
 * You want to be in front of customers, not just tolerate it.
 * You stay when the work gets unglamorous, and you can give us a specific example of a time you did.

Bonus:

 * Hands-on LLM work - agents, tool use, retrieval, evals. Shipped, not demoed.
 * Exposure to ITSM, CMDB, or enterprise IT operations.
 * Two years in technical consulting or solutions engineering and a strong urge to write more code.

## Description

STLabs is an AI service management platform that resolves employee requests end-to-end, grounded in a living model of the enterprise. This matters because we're able to resolve requests with full context - the people, systems, services, and policies that define how an organization actually runs. Requests that used to take days of back-and-forth resolve in minutes, right where employees already work., Our platform turns an enterprise's historical ticket data, knowledge bases, and integrations into instant resolutions, automated workflows, and a living graph of their organization. None of that happens from a distance. Someone has to sit inside the customer's environment - their data, their integrations, their constraints - and make it real., * Deploy STLabs inside enterprise environments, potentially working on-site alongside teammates to map service workflows.

 * Increment on production code - integrations, data pipelines, agent workflows, and internal tooling to bridge the idealisms of our product against the practical reality of your clients.
 * Wire our platform into the systems customers already run: ticketing, identity, device management, knowledge bases, and whatever else lives in their stack.
 * Own a piece of a live deployment from your first month, and a whole one when you're ready.
 * Feed what you learn back into the product. You'll see more of how enterprises actually run their service operations than anyone else at the company.