Staff Software Engineer, AI

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October 20

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Stord

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eCommerce • Logistics • Software

Stord is a company that provides cloud supply chain solutions for direct-to-consumer (DTC) and omnichannel brands, specializing in fulfillment, last-mile delivery, and inventory management. By integrating best-in-class software with physical logistics operations, Stord aims to enhance the consumer experience from pre-purchase to post-delivery. The company supports over $5 billion in commerce annually and offers services such as order management, shipment protection, and inventory planning to streamline supply chains and improve brand loyalty. Stord also serves a wide range of industries, including health & beauty, nutrition & supplements, and apparel & accessories.

501 - 1000 employees

Founded 2019

🛍️ eCommerce

📋 Description

• AI Platform Integration: Build robust Elixir services that consume ML predictions from Modal.com, Vertex AI, and other ML platforms • Integrate existing (or new!) products with edge-based inference where appropriate • Create fault-tolerant systems that gracefully handle service failures and provide intelligent fallbacks • Implement caching and optimization strategies for AI feature serving • Build real-time data pipelines using Kafka and Elixir processes to feed ML models • Production AI Features: Develop Demand Planning services that integrate forecasting models with inventory management • Build intelligent routing systems that leverage ML predictions for optimal logistics decisions • Create real-time anomaly detection services for supply chain monitoring • Implement AI-powered recommendation engines for logistics optimization • Design and build APIs for LLM integration (OpenAI, Anthropic, Workers AI, etc.) with proper rate limiting and error handling • Platform Architecture & Scalability: Design distributed systems that can handle millions of AI-powered logistics operations • Implement proper monitoring, alerting, and observability • Build developer tools and abstractions that make AI capabilities easy for other engineers to integrate • Create configuration management and feature flagging for experiments • Optimize performance and costs across the platform • Cross-functional Collaboration: Partner with the Dir of AI Products on architecture decisions and technical strategy • Collaborate with Data Scientists to understand model inputs, outputs, and constraints • Work with the ML/Data Engineers to ensure seamless model deployment integration • Support product teams in implementing AI features within their domains • Mentor other engineers on AI tool usage and integration patterns and best practices

🎯 Requirements

• Expert Elixir/Phoenix (2+ years) • TypeScript (2+ years) • Distributed Systems - Strong understanding of fault tolerance, supervision trees, and OTP patterns • API Design & Integration - Experience building and consuming RESTful APIs and event-driven architectures • Database Expertise - Advanced SQL skills with PostgreSQL, experience with AlloyDB preferred • Message Queues - Experience with Kafka, RabbitMQ, or similar streaming platforms • Cloud Platforms - Hands-on experience with GCP (preferred), AWS, or Azure • Performance Optimization - Experience optimizing high-throughput, low-latency systems

🏖️ Benefits

• Health insurance • 401(k) matching • Flexible work hours • Paid time off • Remote work options