Amari AI — Senior Backend Engineer

Senior Backend Engineer — Amari AI Location: San Francisco, CA (Onsite) Base Salary: $180,000–$260,000 Equity: 0.2%–0.5% Visa: H-1B transfer, O-1, OPT supported About Amari AI Amari AI is building AI agents for customs brokers and the broader logistics industry, a $10 trillion market still reliant on manual, document-heavy workflows. The platform automates customs entries, tracks regulatory updates, and integrates directly with Gmail, Microsoft Teams, Slack, CargoWise, and Descartes. Achieved product-market fit with 30+ customers, 100%+ MoM revenue growth, and 30,000+ hours returned to brokerage teams.

Backed by First Round Capital and Pear VC with $5M raised. Role Overview High-ownership backend engineering role focused on designing and scaling the core data infrastructure powering AI-driven logistics systems. You will build distributed systems, data pipelines, and search infrastructure that enable real-time processing and automation at scale.

Zero-to-one environment with direct founder collaboration. Core Responsibilities Architect and scale distributed backend systems including queue pipelines and communication layers Design systems for resilience using retry strategies, circuit breakers, and graceful degradation Own database architecture including schema design, indexing, and query optimization Build AI search infrastructure for real-time logistics data and AI-driven features Define service boundaries and backend engineering standards Collaborate directly with founders on roadmap, architecture, and technical direction Support hiring and mentorship of future backend engineers Requirements 4–6+ years of backend software engineering experience Experience in high-growth startup or production environments Proven ability to design and ship backend systems end-to-end Strong understanding of distributed systems and architectural trade-offs Ability to operate independently in ambiguous environments Willingness to work onsite in San Francisco Nice to Have Experience with Kafka, RabbitMQ, or SQS Familiarity with AI/ML pipeline infrastructure Experience with Elasticsearch or pgvector Background in logistics, customs, or regulated industries