Senior Software Engineer, AI

Stord-Warehous; Atlanta (GA); On-site; USD 140,000 - 210,000; Full time

Job summary

Stord, the Consumer Experience Company, is hiring an AI-focused Senior Software Engineer to integrate AI capabilities into our cloud-based logistics platform in Atlanta. You will build backbone services and real-time features that expose AI capabilities to product teams.

Work with Dir of AI Products, Data Scientists, and ML Engineers to deploy models, run inference, and ensure reliability at scale. This hands-on role shapes how AI serves logistics workflows across our platform.

Qualifications

• Expert in Elixir/Phoenix building scalable systems.
• Proficient in TypeScript and multi-language stacks.
• Strong distributed systems and OTP knowledge.
• Experience designing RESTful APIs and event-driven architectures.
• Extensive PostgreSQL querying and tuning.
• Experience with Kafka or RabbitMQ.
• Cloud platform experience (GCP preferred).

Responsibilities

• Build Elixir services integrating ML predictions from multiple platforms.
• Design real-time data pipelines with Kafka to feed ML models.
• Develop AI-enabled features for demand planning and routing.
• Ensure fault-tolerance, observability, and scalable platform architecture.
• Collaborate with AI leaders, data scientists, and engineers.

Skills

Elixir/Phoenix

TypeScript

Distributed Systems

API Design & Integration

PostgreSQL

Kafka

Cloud Platforms

Performance Optimization

Job description

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 platformsIntegrate existing (or new!) products with edge-based inference where appropriateCreate fault-tolerant systems that gracefully handle service failures and provide intelligent fallbacksImplement caching and optimization strategies for AI feature servingBuild real-time data pipelines using Kafka and Elixir processes to feed ML modelsProduction AI Features:Develop Demand Planning services that integrate forecasting models with inventory managementBuild intelligent routing systems that leverage ML predictions for optimal logistics decisionsCreate real-time anomaly detection services for supply chain monitoringImplement AI-powered recommendation engines for logistics optimizationDesign and build APIs for LLM integration (OpenAI, Anthropic, Workers AI, etc.) with proper rate limiting and error handlingPlatform Architecture & Scalability:Design distributed systems that can handle millions of AI-powered logistics operationsImplement proper monitoring, alerting, and observabilityBuild developer tools and abstractions that make AI capabilities easy for other engineers to integrateCreate configuration management and feature flagging for experimentsOptimize performance and costs across the platformCross-functional Collaboration:Partner with the Dir of AI Products on architecture decisions and technical strategyCollaborate with Data Scientists to understand model inputs, outputs, and constraintsWork with the ML/Data Engineers to ensure seamless model deployment integrationSupport product teams in implementing AI features within their domainsMentor other engineers on AI tool usage and integration patterns and best practicesWhat You'll Need:Expert Elixir/Phoenix (2+ years) - You've built and scaled production Elixir systemsTypeScript (2+ years) - You can switch between the best tool for the given taskDistributed Systems - Strong understanding of fault tolerance, supervision trees, and OTP patternsAPI Design & Integration - Experience building and consuming RESTful APIs and event-driven architecturesDatabase Expertise - Advanced SQL skills with PostgreSQL, experience with AlloyDB preferredMessage Queues - Experience with Kafka, RabbitMQ, or similar streaming platformsCloud Platforms - Hands-on experience with GCP (preferred), AWS, or AzurePerformance Optimization - Experience optimizing high-throughput, low-latency systemsRequired Soft Skills:Production Mindset - You prioritize reliability and user impact over perfect codeSystems Thinking - You understand how AI features fit into the broader platform architectureStrong Communication - Can explain technical decisions and trade-offs to various audiencesCollaborative Approach - Enjoys working in a collaborative environmentLearning Agility - Comfortable with evolving AI/ML technologies and toolsPreferred 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 sourcingKnowledge of feature stores and real-time ML servingExperience with Modal.com, Vertex AI, or similar ML platformsFamiliarity with logistics, e-commerce, or supply chain domainsExperience with GenAI applications and prompt engineeringKnowledge of vector databases and semantic searchContributions to open source Elixir, TypeScript or AI projectsExperience with A/B testing and experimentation platforms