Research & Development Senior Software Engineer, AI ATL1 - Atlanta, GA

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. 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 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 What You’ll Need Expert Elixir/Phoenix (2+ years) - You've built and scaled production Elixir systems TypeScript (2+ years) - You can switch between the best tool for the given task 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 Required Soft Skills: Production Mindset - You prioritize reliability and user impact over perfect code Systems Thinking - You understand how AI features fit into the broader platform architecture Strong Communication - Can explain technical decisions and trade-offs to various audiences Collaborative Approach - Enjoys working in a collaborative environment Learning Agility - Comfortable with evolving AI/ML technologies and tools Preferred Qualifications Experience with LLM integration (OpenAI, Anthropic Claude, etc.) TypeScript experience (we work across Elixir, TypeScript and Python and generally try to choose the best tool for the job) Cloudflare Workers/AI experience (or other edge platforms) Event sourcing Knowledge of feature stores and real-time ML serving Experience with Modal.com, Vertex AI, or similar ML platforms Familiarity with logistics, e-commerce, or supply chain domains Experience with GenAI applications and prompt engineering Knowledge of vector databases and semantic search Contributions to open source Elixir, TypeScript or AI projects Experience with A/B testing and experimentation platforms We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Stord participates in E-verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. #J-18808-Ljbffr Stord