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Backend Engineer, Data & Agent Platform

tensorstax.com

  • San Francisco, California
  • 30+ days ago

    Highlights

    Our platform integrates agentic AI capabilities with large-scale data systems, enabling intelligent orchestration, automated pipeline management, and self-healing infrastructure. We are looking for a Backend Engineer to help build the core agent framework powering TensorStax and integrations into popular data engineering tools.

    Numbers & Facts

    LocationSan Francisco, California
    Websitetensorstax.com

    Description

    Backend Engineer – Data & Agent Platform
    Location: San Francisco (Hybrid)

    About TensorStax
    TensorStax is building fully autonomous AI systems to manage and optimize mission-critical data infrastructure. Our platform integrates agentic AI capabilities with large-scale data systems, enabling intelligent orchestration, automated pipeline management, and self-healing infrastructure.

    We are looking for a Backend Engineer to help build the core agent framework powering TensorStax and integrations into popular data engineering tools.

    What We’re Looking For:

    • Strong software engineering experience in Python, with a focus on performance, reliability, and distributed systems.
    • Hands-on experience building agentic AI applications, especially in domains such as computer control or code gen.
    • Track record of contributions to open-source agentic frameworks such as LangChain, AutoGen, etc.
    • Deep understanding of distributed systems, API design, and backend architectures.
    • High agency—ability to take ownership, navigate ambiguity, and independently push projects forward.
    • Former founders or engineers who have built and owned significant technical projects are highly valued.

    Bonus Points:

    • 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.

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