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Rippling

Unified HR and IT management platform

Software Engineer - Financial AI Product

AI Application EngineeringPosted on Nov 11
Full-timeSan Francisco, CA, USA

About the Job

Requirements

  • Strong software engineering fundamentals and experience building production systems at meaningful scale.
  • Experience designing backend systems, data models, APIs, workflows, or platform infrastructure for complex business domains.
  • Strong judgment around reliability, correctness, edge cases, and operational risk.
  • Interest in applied artificial intelligence, large language models, agents, evaluations, retrieval, structured extraction, or AI-assisted workflows.
  • Ability to reason clearly about where artificial intelligence should be used, where deterministic systems should take over, and how to build guardrails around model-driven workflows.
  • Product sense and comfort operating in ambiguous problem spaces where the right answer is not obvious upfront.
  • Ability to partner with product managers, domain experts, operations teams, and engineers to turn messy real-world workflows into simple, scalable software.
  • A high-ownership mindset, including taking a problem from vague customer pain through architecture, implementation, rollout, measurement, and iteration.

Responsibilities

  • Build artificial-intelligence-powered product capabilities for complex financial workflows such as onboarding, data ingestion, reconciliation, validation, exception handling, and operational review.
  • Design systems that combine model-driven reasoning with deterministic financial execution.
  • Build workflows that trace financial values back to source evidence, surface unresolved gaps, and prevent downstream execution when validation fails.
  • Create ingestion and normalization systems that can handle messy exports, historical records, customer-provided files, and inconsistent provider formats.
  • Develop evaluations, testing harnesses, observability, and feedback loops to measure AI quality in workflows where near-perfect accuracy is essential.
  • Partner with product, design, operations, compliance, and platform teams to identify high-impact artificial intelligence opportunities and turn them into reliable product capabilities.
  • Work through ambiguous product areas, prototype quickly, and scale successful solutions into reusable product and platform primitives.
  • Help set the engineering bar for correctness, auditability, security, reliability, and production safety in artificial-intelligence-enabled and AI-native financial products.

About the Company

Rippling

Unified HR and IT management platform

Rippling provides a unified SaaS platform that combines HR and IT management. It automates payroll, benefits administration, employee data management, and app/device provisioning, all within one system. The platform integrates these functions so businesses can handle HR and IT tasks from a single interface, with automation and connections to other business apps. Its approach centers on offering a subscription-based service that includes core HR tools plus optional services like device management and broker partnerships. Rippling aims to reduce administrative overhead and improve operational efficiency by keeping HR data, payroll, benefits, and IT management in one place.

Company size
5,001-10,000
Company stage
Series G
Total funding
$1.8B
Headquarters
San Francisco, CA
Founded
2016

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