Backend Engineer

What You'll Do

• Design and maintain scalable APIs and microservices to support high-throughput production environments.
• Build robust data pipelines for model ingestion and processing using SQL and NoSQL databases.
• Deploy machine learning models via specialized inference frameworks and serving patterns like batching and async inference.
• Implement observability across the stack, including comprehensive logging, metrics, and alerting systems.
• Architect distributed systems focusing on low latency, fault tolerance, and message queuing.
• Triage and debug machine learning models in production to ensure consistent performance and reliability.
• Manage embedding pipelines and integrate vector search capabilities to enhance application intelligence.

What You Bring

• Extensive experience building and maintaining production-grade backend systems in languages such as Python, Go, or Java.
• Strong understanding of system design principles, including distributed systems and data consistency.
• Technical proficiency with SQL and NoSQL databases, caching layers, and message brokers like Kafka or Redis.
• Proven experience shipping to production with built-in observability and monitoring.
• Practical knowledge of machine learning libraries such as PyTorch, scikit-learn, or HuggingFace for model integration and debugging.
• Based in the US with authorization to work in the USA, no visas or sponsorships.

Nice to Haves

• Experience with vector search engines and embedding pipelines.
• Knowledge of advanced model serving patterns and asynchronous inference.
• Prior experience in manufacturing, retail, or finance sectors.