Applied AI Software Engineer

About Antithesis

We’re on a mission to redefine how modern distributed systems are tested and released. Our platform is trusted by engineering teams who demand rock-solid reliability, scalable performance, and deep technical visibility. Our platform doesn’t just assure system correctness and reliability, it exists because developers need something better. If you’ve ever experienced the pain of a production outage, had a bad week on-call, or had a release delayed by weeks because of one killer bug – you’ll understand exactly why we’re doing what we do. If you're passionate about developer-first products, system resilience, and correctness, we’d love to talk.

About the Role

We’re hiring an Applied AI Software Engineer to build AI native products, integrations, API management, and more, that help our Finance and Accounting teams. Finance here spans FP&A, Accounting, Tax, Payroll, Reporting, SalesOps, Treasury, Equity Management, AP, AR, and Finance/Accounting Ops. The team is moving fast as the company scales, and there’s a big opportunity to automate the remaining manual work and free them up for higher value work.

You’ll work at the intersection of software engineering, applied AI, data, and Finance operations.

What You’ll Do

• Work directly with Finance and Accounting to understand how they work, where they get stuck, and how they could do more with technology.

• Design, build, and ship full stack products that use AI to help non technical teams get work done.

• Build everything from lightweight agent workflows and automations to production applications for reporting, reconciliation, close support, and other Finance and Accounting problems.

• Take manual effort off the team and help shorten the close.

• Make pragmatic build versus buy decisions. The right solution might use an existing tool, a reusable agent skill, a custom integration, or a full application.

• Support ERP implementation and management, along with other new software implementations and changes coming down the pipe.

• Partner with Finance, Accounting, and RevOps to integrate with the systems they use, like our ERP and Salesforce.

• Build for the controls Finance needs: testing, monitoring, documentation, version control, audit trails, and access management.

• Keep AI work from being siloed. Today it lives with individuals on the team; help turn it into shared tools, reports, and a source of truth that can be maintained and audited as we grow.

• Support globalization and the expansion of the Finance team.

Why Join Us?

• Join a collaborative, kind team supporting a rapidly growing company.

• Work with the resources - tools, teammates, and world-class experts - to do portfolio worthy work.

• Use and explore AI in an environment that does not tolerate workslop.

Preferred Qualifications

• 4+ years of professional software engineering experience, including independently shipping and operating production systems.

• Experience shipping an LLM powered product, feature, or workflow for real users. You understand the difference between an impressive prototype and a system people can depend on.

• Experience working directly with non technical users to understand their workflows, test ideas, and improve products through feedback.

• Experience integrating with business systems such as ERP and accounting platforms, Salesforce, HubSpot, Slack, or data enrichment platforms.

• Strong product and engineering judgment. You can move quickly when the problem calls for an experiment and build for reliability, auditability, and access control when the solution becomes business critical.

Our current stack for internal applications includes TypeScript, React, and AWS. Experience with these tools is helpful, but we care more about strong engineering fundamentals and the ability to learn.

Nice to Have

• CPA

• Start-up experience building from scratch