Senior Software Engineer

Zilker Partners

  • San Francisco, California
  • 30+ days ago

    Highlights

    Proven ability to integrate with complex, closed, or legacy APIs , including building robust data extraction and transformation workflows. Develop integrations with cutting-edge LLMs (OpenAI, Gemini, Claude) to enable natural language workflows and intelligent process automation.

    Numbers & Facts

    LocationSan Francisco, California

    Description

    Job Overview:


    Our client is hiring a Sr. SW Engineer to and expand their core machine learning and automation engine. You’ll work directly with the co-founders to architect, build, and ship high-impact systems that integrate deeply with their accounting tech ecosystem.

    This is a ground-floor opportunity: you’ll shape the company’s technical foundation, define engineering culture, and drive the roadmap for integrating AI agents and LLMs into production.


    Responsibilities:


    • Build automation systems that streamline and replace repetitive workflows for top accounting firms.
    • Integrate with closed / legacy APIs, designing resilient connectors and data pipelines that extract, normalize, and process complex financial data.
    • Design and own backend architecture—ensuring scalability, reliability, and extensibility as their data and automation workloads grow.
    • Develop integrations with cutting-edge LLMs (OpenAI, Gemini, Claude) to enable natural language workflows and intelligent process automation.
    • Ship greenfield features that expand the types of accounting and operational processes they automate.
    • Partner directly with the founders to translate customer needs into product decisions and shape the technical roadmap.
    • Help to establish best practices for code quality, security, and system design as an early technical leader.


    Requirements:


    • 3–7 years of experience in high-ownership or early-stage environments, with a strong preference for in-person collaboration (5 days/week).
    • Deep backend engineering experience (OO Python) and strong understanding of system architecture, data modeling, and distributed services.
    • Proven ability to integrate with complex, closed, or legacy APIs, including building robust data extraction and transformation workflows.
    • Experience building or integrating with LLM-based systems (e.g., OpenAI, Gemini, Claude) for automation or data understanding.
    • Hands-on experience building complex systems that handle large volumes of data with high reliability and performance.
    • Startup experience, early technical leadership, or significant side projects that show initiative and ownership.
    • Self-directed learner who is proficient with Typescript and React preferred.


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