Forward Deployed Engineer, AI Enablement
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Job Description
Senior Forward Deployed Engineer developing AI systems to automate internal workflows at Stord. Collaborating with teams to build impactful tools for logistics and operational efficiency.
Responsibilities:
- 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
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