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TensorStax

Backend Engineer, Data & Agent Platform

Build core agent framework for autonomous AI data infrastructure using Python and distributed systems. Requires experience in agentic AI apps, open-source contributions like LangChain/AutoGen, and backend architecture design.

San Francisco, CABackend EngineeringHybrid
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About the role

Responsibilities

  • Build the core agent framework powering TensorStax.
  • Develop integrations into popular data engineering tools.

Requirements

  • Strong software engineering experience in Python, focusing on performance, reliability, and distributed systems.
  • Hands-on experience building agentic AI applications (e.g., computer control or code gen).
  • Track record of contributions to open-source agentic frameworks such as LangChain, AutoGen.
  • Deep understanding of distributed systems, API design, and backend architectures.
  • High agency to take ownership, navigate ambiguity, and push projects forward independently.

Nice-to-Haves

  • Experience with GoLang for high-performance backend services.
  • Strong understanding of big data transformation, ETL, and ELT pipelines.
  • Proficiency in Spark, Airflow, dbt, Kafka, or other data engineering tools.
  • Familiarity with streaming architectures, event-driven systems, and async processing.
  • Experience optimizing large-scale data pipelines for performance and cost efficiency.

Benefits

  • 100% employer-covered health, dental, and vision insurance.
  • 401(k) with company match.
  • Access to Bay Club or Equinox in San Francisco.

Skills

PythonLangChainAutogenDistributed SystemsAPI DesignGoSparkAirflowdbtKafka

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