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.