Stord logo
Stord

The Consumer Experience Company | Fulfillment, Last-Mile Delivery, & Technology

Forward Deployed Engineer, AI Enablement

Artificial IntelligenceArtificial IntelligenceFull TimeRemoteSeniorTeam 1,001-5,000Since 2015H1B SponsorCompany SiteLinkedIn

Location

United States

Posted

47 days ago

Salary

0

Seniority

Senior

Bachelor Degree3 yrs expEnglishJavaScriptNode.jsPostgreSQLSQLTypeScript

Job Description

Forward Deployed Engineer, AI Enablement

Stord

• 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

Job 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

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