Senior Software Engineer, AI Software

Senior Software Engineer, AI Build end-to-end AI feature integration in the logistics platform with Elixir services Location: Atlanta, Georgia About The Role Senior Software Engineer (AI) 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. 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: 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 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 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 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 #J-18808-Ljbffr Front Door Defense