Senior Software Engineer, AI

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 our revenue in the next 18 months. To meet and exceed this target, Stord is strategically scaling teams across the entire company, and seeking energetic experts to help us achieve our mission.

By combining comprehensive commerce-enablement technology with high-volume fulfillment services, Stord provides brands a platform to compete with retail giants. Stord manages over $10 billion of commerce annually through its fulfillment, warehousing, transportation, and operator-built software suite including OMS, Pre- and Post-Purchase, and WMS platforms. Stord is leveling the playing field for all brands to deliver the best consumer experience at scale.

With Stord, brands can increase cart conversion, improve unit economics, and drive sustained customer loyalty. Stord’s end-to-end commerce solutions combine best-in-class omnichannel fulfillment and shipping with leading technology to ensure fast shipping, reliable delivery promises, easy access to more channels, and improved margins on every order.

Hundreds of leading DTC and B2B companies like AG1, True Classic, Native, Seed Health, quip, goodr, Sundays for Dogs, and more trust Stord to deliver industry-leading consumer experiences on every order. Stord is headquartered in Atlanta with facilities across the United States, Canada, and Europe. Stord is backed by top-tier investors including Kleiner Perkins, Franklin Templeton, Founders Fund, Strike Capital, Baillie Gifford, and Salesforce Ventures.

Stord is revolutionizing the logistics industry with our cloud-based supply chain platform. Our AI team builds intelligent, LLM-driven features — including conversational agents, automated workflows, and AI-powered decision support — that are deeply integrated across Stord's product suite.

We are seeking a Senior Software Engineer to build core features on the AI Platform team. This is a hands-on engineering role — you will design and deliver complex AI-powered features, contribute to architectural decisions, and help raise the quality bar through strong technical execution. You'll work daily in our TypeScript-based AI platform built on Cloudflare Workers, building the agent infrastructure, tool systems, and integrations that power Stord's AI capabilities.

The right person for this role ships reliable, well-designed systems and is growing toward technical leadership. You write clean, idiomatic TypeScript, you have experience building LLM-powered features in production, and you know the difference between accepting model output and directing it toward high-quality results.

What You'll Do

Hands-On Engineering

Design and build features across our AI platform: agent tool systems, prompt pipelines, integration APIs, and edge-deployed services

Work daily in our TypeScript stack: Hono on Cloudflare Workers, Durable Objects for stateful agents, D1/Drizzle for persistence, and the AI SDK (Anthropic Claude) for model interaction

Build scope-aware tool systems that safely expose platform capabilities (orders, inventory, knowledge base) to AI agents

Design fault-tolerant integrations with downstream services, including Elixir/Phoenix APIs, and ensure graceful degradation

Own features end-to-end: from technical design through implementation, testing, deployment, and production monitoring

AI/LLM Application Development

Build and iterate on agentic AI features — tool calling, context management, multi-step workflows, and confidence-based routing

Implement prompt engineering patterns, evaluation frameworks, and observability for LLM-powered systems

Integrate ML model outputs via API layers, collaborating with Data Scientists to understand model requirements and design clean integration boundaries

Contribute to the design of the Stord Agent Platform: agent orchestration, skill registries, and human-in-the-loop patterns

Technical Growth & Influence

Contribute to architectural decisions through design docs, code reviews, and technical discussions — forming well-reasoned opinions and defending them constructively

Provide mentorship and guidance to junior and mid-level engineers on the team

Identify technical risks, propose improvements, and advocate for quality — don't wait to be assigned a ticket

Create leverage through clear code, well-documented decisions, and reusable patterns that make others faster

Use AI coding tools effectively, maintaining a strong independent technical POV and producing high-quality results rather than accepting raw model output uncritically

Cross-Functional Collaboration

Collaborate closely with Product Management and Design on feature development, providing technical perspective on feasibility and trade-offs

Support other product engineering teams in adopting AI capabilities within their domains

Participate in sprint planning, design reviews, and cross-team syncs

What You'll Need

Required Technical Skills

TypeScript (2+ years in production) — You write idiomatic, well-structured TypeScript and are comfortable owning significant portions of a TypeScript codebase. This is the primary language of the AI platform.

AI/LLM Application Development — You have built and shipped LLM-powered or agentic features in production. You understand prompt engineering, tool/function calling, context management, and the practical challenges of making AI systems reliable.

Distributed Systems & Edge Computing — Experience building stateful or high-availability services. Cloudflare Workers, Durable Objects, or similar edge runtime experience is a strong plus.

API Design & Integration — Experience designing and consuming RESTful APIs, OpenAPI specifications, and event-driven architectures. You'll integrate with multiple backend services daily.

Database & Persistence — Strong SQL fundamentals. Experience with embedded/edge databases (D1, SQLite) or PostgreSQL. Drizzle ORM experience is a plus.

Cloud Platforms — Hands-on experience with Cloudflare, GCP, or AWS. Understanding of serverless and edge deployment models.

Observability — Experience instrumenting production systems with OpenTelemetry, Datadog, or similar. You know what to measure and how to debug in production.

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.

Nice to Have

Elixir/Phoenix experience or familiarity (downstream services use Elixir)

Experience with the Cloudflare developer platform (Workers, Durable Objects, D1, R2, Vectorize, AI Gateway, Queues)

Experience with Anthropic Claude, the AI SDK ( ai / @ai-sdk/anthropic ), or Model Context Protocol (MCP)

Knowledge of logistics, e-commerce, or supply chain domains

Experience with WebSocket-based real-time systems

Familiarity with scope-based authorization and multi-tenant systems

Contributions to open-source TypeScript or AI projects