Forward Deployed Engineer, AI Enablement

About the role

Stord is The Consumer Experience Company, powering seamless checkout through delivery for today's leading brands. Stord is rapidly growing and is on track to double its revenue in the next 18 months. To meet and exceed this target, Stord is strategically scaling teams across the entire company, and seeks energetic experts to help achieve its mission.

Responsibilities

• 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
• Agentic AI development: You have built AI agents that automate real workflows in production
• CLI-native workflow: Claude Code, Cursor, Codex, or equivalent is your primary development environment
• 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
• 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

Qualifications

• Ownership & Accountability — You own features end-to-end and take pride in what you ship
• Strong Communication — You can explain technical decisions and trade-offs to engineers, PMs, and stakeholders
• 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

Skills

• TypeScript / Node.js
• Agentic AI development
• CLI-native workflow
• LLM integration
• API design & integration
• Observability
• Advanced SQL with PostgreSQL
• High agency
• Production discipline

Benefits

Not specified

Pay

Not specified

Schedule

Not specified