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.
Numbers & Facts
Location
San Francisco, California
Skills
Accountingunmatched
Accounting Policiesunmatched
Application Programming Interface (API)unmatched
Artificial Intelligence (AI) Agentsunmatched
Automationunmatched
Automation Systemsunmatched
Best Practicesunmatched
Data Managementunmatched
Data Modelingunmatched
Data Processingunmatched
Ecosystemsunmatched
Engineeringunmatched
High Reliabilityunmatched
Machine Learningunmatched
Object Oriented (OO)unmatched
Operations Processesunmatched
Python Programming/Scripting Languageunmatched
Security System Designunmatched
Software Engineeringunmatched
Startupunmatched
System Architectureunmatched
System Integration (SI)unmatched
Technical Accountingunmatched
Technical Leadershipunmatched
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