That is where you come in. As a Senior Forward Deployed Engineer on the AI Enablement team, your job is to get close to the people doing that work, understand exactly where the friction lives, and build agentic AI systems that make it disappear permanently. Not prototypes. Not internal demos. Production tools that change how Stord operates - with your fingerprints on the outcome.

This role is not a traditional product engineering position. You will operate more like an embedded problem-solver than a member of a feature team - pairing engineering depth with the curiosity and judgment to identify what is actually worth building. If you have shipped internal AI tooling at scale, move fast without breaking things, and get energy from seeing the people around you work better because of what you built - this role was designed for you.

Why This Role

• Your users are Stord employees - you get direct, immediate feedback on the impact of what you build
• Greenfield scope: we are early in systematically automating internal workflows with AI, and you will define how it's done
• High autonomy: observe a problem, propose a solution, ship it - with minimal bureaucratic drag
• Your work compounds: reusable modules and patterns you build accelerate every automation that follows
• AI investment is a company-level mandate - you will have organizational support and visibility

What You'll 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 12 prototype 12 validate with domain experts 12 harden 12 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

How You Work

• Embed with a team, map the workflow end-to-end, identify the highest-leverage automation target
• Ship small, validate with domain experts, iterate fast - production discipline from the very first commit
• Collaborate with Product Engineering when automations touch core platform systems; operate independently everywhere else
• Document and publish reusable patterns so the next engineer - or the next automation - goes faster

What We're Looking For

Required

• 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.

Required Soft Skills

• 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.

Strongly Preferred

• Experience automating workflows in operational or back-office contexts (finance, support, logistics, HR)
• Familiarity with Stord's stack: Elixir/Phoenix, TypeScript, Kafka, GCP
• Vector databases and semantic search for internal knowledge retrieval
• Experience building internal developer tools or platforms
• Python for scripting, data wrangling, or model integration

Nice to Have

• Early-stage startup background - you have worn many hats and shipped under pressure
• Hackathon experience or open source contributions
• Domain knowledge in logistics, supply chain, or operations-heavy B2B environments
• Experience with workflow orchestration tools (Temporal, Prefect, Airflow, or similar)

What Success Looks Like

In your first 30 days, you have embedded with at least one internal team, mapped a workflow end-to-end, and shipped an automation - however small - into production. By 90 days, you have eliminated a meaningful chunk of manual work that was previously just accepted as the cost of doing business. By six months, you have a library of reusable patterns others are building on, and internal teams are coming to you with problems rather than waiting to be found.