Senior Software Engineer, Agents

*hiring on behalf of our client

Title: Senior Software Engineer, Agents 

Time: Full-Time 

Location: Hybrid (Financial District, San Francisco, CA) 

Compensation: $220,000 - $315,000/year USD + competitive equity

The Company 

Our client is a leading AI-native platform transforming how audit, advisory, and assurance work gets done. Purpose-built for regulated environments, their platform pairs professionals with agentic AI to modernize engagement delivery from planning through close. Trusted by top accounting and advisory firms nationwide, they are well-funded by premier venture capital and growth equity firms, operating in a fast-paced environment focused on shipping high-reliability systems at scale.

Role Overview 

As a Senior Software Engineer on the Foundation Agents team, you will steward the long-horizon agents powering the AI platform. This role operates at the frontier of AI product development, focusing on agent knowledge, evaluations, and driving platform reliability and quality at scale. You will take ownership of backend systems, architect evaluation infrastructure, and turn error-analysis insights into concrete platform-level improvements.

Key Responsibilities 

• Design, build, and maintain agent knowledge and evaluation infrastructure for production, long-horizon agents 

• Own the evaluation strategy and error-analysis practice to systematically measure and improve agent quality 

• Lead in-depth error analysis on agent behavior and implement platform-level reliability improvements • Build, scale, and harden backend systems supporting agent execution, evaluation, and monitoring 

• Collaborate with the broader engineering team to drive the AI platform roadmap forward 

• Mentor team members, raising the standard for eval rigor and engineering excellence

Qualifications 

• 6 - 15 years of total professional software engineering experience 

• Currently operating at a Senior, Staff, Tech Lead level, or previous technical founder experience 

• 1 to 2 years of hands-on experience building customer-facing production agents or AI platforms at scale (including agentic loops, evals, and error analysis) 

• Deep backend, platform, data platform, or full-stack engineering expertise 

• Degree in Computer Science from a top-tier program or equivalent practical foundation 

• Proven track record of owning end-to-end AI products with direct responsibility for reliability outcomes 

• Ability to work hybrid in San Francisco, CA (averaging approximately 3 days per week on-site)