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Gritora Solutions

AI Forward Deployed Engineer

$180K - $300K Remote New York, NY, US Mid Posted October 13, 2026

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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