About this role
Summary: Lead the development of customer-facing AI experiences for an AI-native accounting platform, building shared AI foundations and defining efficacy metrics. The role involves designing end-to-end AI features, collaborating with users to solve business problems, and ensuring features are automated, auditable, and tru...
San Francisco, CA | On-site | Full-time
MaxIT Consulting is looking for a Software Engineer, Applied AI to join a fast-growing, venture-backed AI-native accounting and financial data platform used by hundreds of leading technology companies.
The Opportunity
You will lead the development of customer-facing AI experiences that make a complex financial platform usable, automated, auditable and trusted, and build the shared foundations used to bring reliable AI automation to accountants and finance teams. You will also define how the efficacy of AI features is measured and improved.
Key Responsibilities
- Design and ship user-facing AI features end to end, from backend services to the web interface.
- Build horizontal AI foundations (orchestration, evaluation, feedback loops) reused across the product.
- Create new interaction patterns for a complex, data-heavy business domain.
- Work directly with users to understand their problems and turn them into product decisions.
- Own outcomes, not only code: make sure features solve real customer problems.
Required Qualifications
- Generalist full-stack skills: backend development and modern web frameworks.
- Experience shipping greenfield projects.
- Projects built with modern AI / LLMs, ideally in business-facing contexts.
- Curiosity, user empathy and a strong sense of ownership.
Nice to Have
- Work history in AI research, AI infrastructure or product design.
Work Arrangement
In-person role in San Francisco, CA. Candidates must already be authorized to work in the United States.
HOW TO APPLY
Apply through this same channel with your updated resume and your expected gross annual base salary in USD.