Amari AI - Senior Backend Engineer

David Joseph & Company
San Francisco, CA, United States
3 months ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
4 years minimum
Compensation
$180,000.0 - $260,000.0
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence Databases Distributed Systems Elasticsearch Fault Tolerance PEAR - PHP Extension and Application Repository Query Optimization RabbitMQ Search Technologies Software Engineering Indexer Backend
+3 more
Slack Apache Kafka Amazon Simple Queue Service (SQS)

Job description

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., * 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

Do you have experience in System design?, * 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, * Experience with Kafka, RabbitMQ, or SQS
  • Familiarity with AI/ML pipeline infrastructure
  • Experience with Elasticsearch or pgvector
  • Background in logistics, customs, or regulated industries

Apply for this position

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