Zilker Partners
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.
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.