Role Description
JOB DESCRIPTION
AI Forward Deployed Engineer | NYC | Salary + Equity
Are you an engineer who can walk into a complex customer environment, figure out what needs to be built, and actually ship it?
We’re hiring 2 AI Forward Deployed Engineers for a fast-growing AI startup putting supply chains on autopilot.
This is not a pure implementation or customer-success role. You’ll sit at the intersection of backend engineering, AI, enterprise integrations, and customer-facing problem solving—building production solutions for complex procurement and ERP workflows.
Compensation & Details
New York, NY — Hybrid
Salary + competitive equity
2 openings
Full-time
Occasional customer visits (~1–2x/month)
US Citizens / Green Card holders only — no visa sponsorship
Tech: Python, Django, React, TypeScript, NetSuite, SAP, Microsoft Business Central, Celery, Redis, RabbitMQ, Docker, AWS, Azure, GCP
What makes this role different
You’ll:
Work directly with enterprise customers to understand procurement, ERP, and operational workflows Turn ambiguous business requirements into scalable technical solutions Build integrations with NetSuite, SAP, and Microsoft Business Central Develop backend services and workflow automation using Python/Django Build and ship customer-specific solutions into production Partner with Product & Engineering to turn repeatable customer patterns into core platform capabilities Support occasional customer workshops ~1–2x/month
What we’re looking for
Must-have:
6–8+ years in FDE, full-stack, or backend-heavy software engineering Strong backend engineering and system design fundamentals Production experience shipping software into customer environments Experience building greenfield solutions/custom workflows Strong Python, TypeScript, or Rust Hands-on API, enterprise integration, or data-pipeline experience Experience independently scoping customer/stakeholder requirements and building the solution Experience at a Tier 1/2 tech company or recognizable high-growth startup Uses AI coding tools daily; ideally has built/shipped AI features or agents
Not the right fit if:
Your background is primarily large enterprise/Big Tech with no startup or early-stage experience You primarily implement predefined requirements rather than challenge assumptions and shape the solution
If you’re a strong FDE / backend / full-stack engineer who enjoys owning problems from customer discovery → architecture → implementation → production, I’d love to hear from you.
Pay: $180,000.00 - $300,000.00 per year
Benefits:
- Relocation assistance
Application Question(s):
- Must have 6–8+ years in FDE, full-stack, or backend-heavy software engineering
- Must have Strong backend engineering and system design fundamentals
- Must have Production experience shipping software into customer environments
- Must have Experience building greenfield solutions/custom workflows
- Must have Strong Python, TypeScript, or Rust
- Must have Hands-on API, enterprise integration, or data-pipeline experience
- Experience independently scoping customer/stakeholder requirements and building the solution
- Must have Experience at a Tier 1/2 tech company or recognizable high-growth startup
Uses AI coding tools daily; ideally has built/shipped AI features or agents
- Must have US citizen only.
Work Location: Hybrid remote in New York, NY 10040
About Forward Deployed Engineering
Forward Deployed Engineers are embedded directly with customers to build custom solutions, integrate products into existing infrastructure, and bridge the gap between product engineering and customer success. The role combines deep technical skills with the ability to operate in client environments and translate business requirements into working software.
Originally pioneered by Palantir, the FDE model has spread across AI, enterprise SaaS, and cloud infrastructure companies. FDEs write production code, architect integrations, train customer teams, and feed product insights back to the core engineering organization. At companies like OpenAI, Salesforce, and Databricks, FDE teams are treated as elite engineering units that can ship custom solutions in days rather than quarters.
Typical FDE stack: Python, TypeScript, SQL, REST/GraphQL APIs, cloud platforms (AWS/GCP/Azure), and increasingly LLM APIs and AI orchestration frameworks. Strong communication and the ability to context-switch between technical and business conversations are as important as coding ability.
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