Stord is looking to integrate AI/ML capabilities into its core logistics platform to enhance features like demand planning, predictive analytics, and intelligent automation, aiming to improve consumer experience and operational efficiency.
Requirements
- 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
Responsibilities
- 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
Other
- 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
