Senior Software Engineer, AI

About the role

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.

Responsibilities

• 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

Requirements

• Technical Skills:
  • 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
• 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

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