Forward Deployed Engineer, AI Enablement

🕒 April 18

🇺🇸 United States – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 Artificial Intelligence

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Stord

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2015

☁️ SaaS

🚗 Transport

🛍️ eCommerce

SaaS • Transport • eCommerce

Stord is a cloud supply-chain company that combines fulfillment network operations with integrated SaaS (OMS/WMS) to power omnichannel and DTC e-commerce brands. It provides warehousing, last-mile and transportation services, order routing, inventory management, and consumer-facing delivery tools to improve conversion, speed up fulfillment, and protect brand experience. Stord serves growing B2B and direct-to-consumer brands across food & beverage, beauty, apparel and other retail categories, offering a customizable fulfillment network and software platform to optimize costs and delivery performance.

📋 Description

• Build tools for Internal Teams (CX, Finance, Ops, Logistics) • AI-powered tooling for Customer Experience teams — triaging issues, surfacing context, automating resolution workflows • Finance automation — reconciliation, exception handling, and reporting workflows that currently require manual effort • Ops and logistics tooling — dashboards, alerting, and intelligent interfaces that reduce the manual burden on warehouse and transportation teams • LLM-powered interfaces that let non-technical teams query, act on, and get answers from operational data without needing engineering support • Workflow Automation • End-to-end automation pipelines: observe workflow → prototype → validate with domain experts → harden → ship to production • Agentic systems with proper logging, retries, monitoring, and edge case handling — not scripts that break silently • Integrations with internal systems (OMS, WMS, TMS, Billing) via APIs and event streams • Reusable automation modules that accelerate future workflow projects across the organization • Developer Productivity Tooling • Internal AI-powered tools that reduce friction across the engineering development lifecycle • Lightweight APIs and integrations that connect the systems engineers rely on daily • Tooling that helps engineers at Stord write, review, and ship code faster using agentic workflows • Internal Data and Analytics Products • Automated reporting and alerting that replaces manual data pulling and analysis • Dashboards and data products that surface operational intelligence to the teams who need it • Self-serve data interfaces that reduce the back-and-forth between operational teams and engineering

🎯 Requirements

• TypeScript / Node.js (3+ years): Production backend experience. You reach for the right tool, and this is your primary one. • Agentic AI development: You have built AI agents that automate real workflows in production — not toys, not demos. • CLI-native workflow: Claude Code, Cursor, Codex, or equivalent is your primary development environment. This is a hard requirement. • LLM integration: Proven experience with OpenAI, Anthropic, or equivalent — tool use, structured outputs, prompt engineering, error handling. • API design & integration: You have built RESTful APIs from scratch and integrated with complex internal systems. • Observability: You instrument your agents in production — logging, tracing, monitoring, alerting. You know when things break before users do. • Database: Advanced SQL with PostgreSQL. You can model data and write queries that matter. • High agency: You identify the problem worth solving, propose the approach, and drive to done with minimal direction. • Production discipline: Fast iteration does not mean fragile systems. You build things that stay running. • Ownership & Accountability — You own features end-to-end and take pride in what you ship. You follow through from design to production and don't drop things. • Strong Communication — You can explain technical decisions and trade-offs to engineers, PMs, and stakeholders. You ask good questions and listen well. • Collaborative Approach — You work well with others, give constructive code review feedback, and actively seek input from teammates. • Production Mindset — You prioritize reliability and user impact. You think about failure modes, monitoring, and operational concerns as part of your design process. • Learning Agility — You're comfortable with rapidly evolving AI/ML technologies and tools. You stay current without chasing hype. • Directed AI-Assisted Development — You know how to use AI coding tools as a productivity multiplier while maintaining quality and your own technical judgment.

🏖️ Benefits

• Health insurance • Retirement plans • Paid time off • Flexible work arrangements • Professional development