Forward Deployed Engineer, AI Enablement

Stord • Atlanta, GA

15h

About The Position

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.

Requirements

• TypeScript / Node.js (3+ years): Production backend experience.
• Agentic AI development: 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: Built RESTful APIs from scratch and integrated with complex internal systems.
• Observability: Instrument agents in production — logging, tracing, monitoring, alerting.
• Database: Advanced SQL with PostgreSQL. Ability to model data and write queries.
• High agency: Identify the problem worth solving, propose the approach, and drive to done with minimal direction.
• Production discipline: Build things that stay running.
• Ownership & Accountability — Own features end-to-end and take pride in what you ship.
• Strong Communication — Ability to explain technical decisions and trade-offs to engineers, PMs, and stakeholders.
• Collaborative Approach — Work well with others, give constructive code review feedback, and actively seek input from teammates.
• Production Mindset — Prioritize reliability and user impact. Think about failure modes, monitoring, and operational concerns.
• Learning Agility — Comfortable with rapidly evolving AI/ML technologies and tools.
• Directed AI-Assisted Development — Know how to use AI coding tools as a productivity multiplier while maintaining quality and technical judgment.

Nice To Haves

• 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
• Early-stage startup background — 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)

Responsibilities

• Build agentic AI systems that make internal workflows disappear permanently.
• Develop production tools that change how Stord operates.
• Operate as an embedded problem-solver, pairing engineering depth with curiosity and judgment.
• Build tools for Internal Teams (CX, Finance, Ops, Logistics), including AI-powered tooling for Customer Experience teams, Finance automation, Ops and logistics tooling, and LLM-powered interfaces.
• Develop Workflow Automation, including end-to-end automation pipelines and agentic systems with proper logging, retries, monitoring, and edge case handling.
• Create integrations with internal systems (OMS, WMS, TMS, Billing) via APIs and event streams.
• Build reusable automation modules that accelerate future workflow projects.
• Develop Developer Productivity Tooling, including internal AI-powered tools that reduce friction across the engineering development lifecycle and lightweight APIs and integrations.
• Create Tooling that helps engineers at Stord write, review, and ship code faster using agentic workflows.
• Build Internal Data and Analytics Products, including automated reporting and alerting, dashboards and data products, and self-serve data interfaces.
• Embed with a team, map the workflow end-to-end, and identify the highest-leverage automation target.
• Ship small, validate with domain experts, and iterate fast with production discipline.
• Collaborate with Product Engineering when automations touch core platform systems; operate independently everywhere else.
• Document and publish reusable patterns so the next engineer or automation goes faster.

Benefits

• Direct, immediate feedback on the impact of what you build
• Greenfield scope: opportunity to define how internal workflows are systematically automated with AI
• High autonomy: observe a problem, propose a solution, ship it — with minimal bureaucratic drag
• Work compounds: reusable modules and patterns accelerate future automation
• Organizational support and visibility due to company-level AI investment mandate

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed