Founding Engineering Lead
Along
AWSAzureCloudDockerJavaJavaScriptNext.jsNode.jsReactSQLTerraformTypeScript
Staff Software Engineer, AI
Stord
full-time
Posted on:
Location Type: Remote
Location: Remote • 🇺🇸 United States
Visit company websiteJob Level
Lead
Tech Stack
AWSAzureCloudDistributed SystemsElixirGoogle Cloud PlatformKafkaPostgresRabbitMQSQLTypeScript
About the role
- 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
- Expert Elixir/Phoenix (2+ years)
- TypeScript (2+ years)
- 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
Benefits
- Health insurance
- 401(k) matching
- Flexible work hours
- Paid time off
- Remote work options
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
ElixirPhoenixTypeScriptDistributed SystemsAPI DesignRESTful APIsPostgreSQLKafkaGCPPerformance Optimization
Soft skills
Cross-functional CollaborationMentoringCommunication
