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 is building next-generation features like Demand Planning, predictive analytics, and intelligent automation that leverage both traditional ML models and cutting-edge LLM capabilities. We need an experienced Elixir engineer (ideally, a true polyglot that looks at languages as tools) who can seamlessly integrate these AI capabilities into our core platform.

We are seeking a skilled AI-focused Senior Software Engineer who combines deep technical expertise with practical AI/ML integration experience. You'll work directly with our Dir of AI Products to architect and build AI-powered features, collaborate with Data Scientists to understand model requirements, and partner with ML Engineers to create seamless integration between our ML infrastructure and core services. This is a hands-on role where you'll build the backbone services that make AI features accessible across our entire platform.

In this role, you'll be instrumental in making AI a first-class citizen in our broader platform. You'll work on critical features like demand forecasting APIs, intelligent routing services, and real-time prediction engines, with the opportunity to shape how AI integrates with our core logistics platform (and what tools we use internally!). This is a unique opportunity to have a massive impact on a team that's transforming supply chain operations through AI.

What You'll Do: 

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 develope