Software Engineer, Applied AI
About The Position
At Numeric, we’re building the modern data platform for accounting and finance. We’re building the financial platform that realizes the dream of live, rich, trustworthy data and insights for companies to drive decision-making & execution. Accounting is a massive, growing data problem. Every business would like to ground their decisions, strategy, and analysis in rich, up-to-date information. Financial data, however, is poor, fragmented, delayed, and lacking context; the accounting work to bring it together is tedious and error-prone. To fix this requires foundational changes in accounting and in the broader finance function. We are addressing these problems at their root by building the infrastructure and product experiences to ingest events, transform them, match value movement, project interpretations, and report against our unified graph of financial data. We’re applying principles of software engineering and data systems to scale accounting. We tackle the hard problems. Accounting does not need more duct tape. We’ve rethought the field—its primitives, assumptions, and practices—while staying grounded by working closely with our customers. As engineers, we do our homework. We study the domain and talk to our users, and by doing so we earn the right to bring a fresh perspective to the problem of financial data. This role will lead the development of customer-facing AI experiences that make our platform usable, delightful, automated, auditable, and trusted. You’ll be responsible for building both user-facing features and the horizontal foundations we use to bring unified, trustworthy AI automation and experiences to our users. You’ll make strategic decisions and build the loops for how we measure and improve the efficacy of our AI product experiences.
Requirements
- Generalist fullstack skills: experience with backend development and web development frameworks
- Experience shipping greenfield projects
- Built projects with modern AI (bonus points for business-facing contexts)
Nice To Haves
- Work history in a relevant technical area: AI research, AI infra, or design
Responsibilities
- Lead the development of customer-facing AI experiences.
- Build user-facing features.
- Build horizontal foundations for AI automation and experiences.
- Make strategic decisions regarding AI product experiences.
- Build loops for measuring and improving AI product efficacy.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
