24 hours ago
Atlanta, GA, USASenior
Responsibilities
- Build and scale Elixir services that consume ML predictions from Modal.com, Vertex AI, and other ML platforms.
- Integrate AI capabilities into the core logistics platform, including edge-based inference, caching, optimization, fault tolerance, and intelligent fallbacks.
- Build demand planning, intelligent routing, anomaly detection, recommendation, and real-time prediction services.
- Design APIs for LLM integration with rate limiting and error handling.
- Develop Kafka- and Elixir-based real-time data pipelines to feed ML models.
- Design distributed systems capable of handling millions of AI-powered logistics operations.
- Implement monitoring, alerting, observability, configuration management, feature flagging, and performance and cost optimization.
- Create developer tools and abstractions that simplify AI integration for other engineers.
- Collaborate with AI product leadership, Data Scientists, ML/Data Engineers, and product teams on architecture and model deployment.
- Mentor engineers on AI tools, integration patterns, and best practices.
Requirements
- 2+ years of experience building and scaling production Elixir systems with expert Elixir/Phoenix skills.
- 2+ years of TypeScript experience and the ability to select appropriate tools across Elixir, TypeScript, and Python.
- Strong understanding of distributed systems, fault tolerance, supervision trees, and OTP patterns.
- Experience designing and consuming RESTful APIs and event-driven architectures.
- Advanced SQL skills with PostgreSQL; AlloyDB experience is preferred.
- Experience with Kafka, RabbitMQ, or similar streaming platforms.
- Hands-on experience with GCP, AWS, or Azure, with GCP preferred.
- Experience optimizing high-throughput, low-latency systems.
- Experience integrating LLMs such as OpenAI or Anthropic is preferred.
- Experience with Cloudflare Workers/AI or other edge platforms is preferred.
- Experience with event sourcing, feature stores, real-time ML serving, Modal.com, Vertex AI, GenAI applications, or prompt engineering is preferred.
- Knowledge of vector databases and semantic search is preferred.
- Experience with logistics, e-commerce, supply chain, A/B testing, or experimentation platforms is preferred.
- Contributions to open-source Elixir, TypeScript, or AI projects are preferred.
Tech Stack
Categories
About Stord
Stord provides a commerce enablement platform that combines third-party warehousing and transportation with OMS, WMS, and post‑purchase software for brands selling online and omnichannel. Its business model blends 3PL fulfillment and freight services with SaaS subscriptions. Founded in 2015 and headquartered in Atlanta, it operates a fulfillment network across the U.S., Canada, and Europe, and serves brands such as AG1, Native, and quip.