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Backend Engineer, Agent Collaboration Platform

160k – 300kNew York, NYSan Francisco, CABackend EngineeringOnsite5+ YOE
Summary

Backend engineer building high-scale agent collaboration systems and document indexing infrastructure for an AI platform serving finance professionals. Requires 5+ years backend experience with Python/Java/Go, AWS, and distributed systems.

About the role

Responsibilities

  • Own critical system components: Take complex requirements and turn them into robust, scaled solutions that solve real customer needs.
  • Unlock O(1) universal indexing: Build and iterate on our high-scale document build system that enables constant time latency for indexing any content in the world, regardless of data volume.
  • Drive performance optimization: Architect and implement performance-tuning solutions to ensure our systems operate efficiently at scale, minimizing latency and maximizing throughput across millions of documents.
  • Mentor and guide: Provide technical leadership, mentorship, and guidance to junior engineers, fostering a culture of learning and growth.

Requirements

  • Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field.
  • 5+ years software development experience at a venture-backed startup or top technology firm, with a focus on backend software engineering.
  • Proficiency in building backend and API systems using technologies such as Python, Java, or Go.
  • Extensive experience with cloud platforms (e.g., AWS).
  • Working experience with one or more of the following: Kafka, ElasticSearch, PostgreSQL, and/or Redis.
  • Ability to analyze complex problems, propose innovative solutions, and effectively communicate technical concepts.
  • Proven experience in leading software development projects and collaborating with cross-functional teams.
  • Embraces rapid prototyping with an emphasis on user feedback.
  • Autonomous and excited about taking ownership over major initiatives.

Nice-to-Haves

  • Experience building agentic systems or LLM enabled products.
  • Frequent user of AI products, especially during the development lifecycle (i.e. Cursor, Claude Code, etc).
Skills
PythonJavaGoAWSKafkaElasticSearchPostgreSQLRedisBackend SystemsAPI Development
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