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Senior Software Engineer, Backend - Financial AI Product

Rippling· Engineering
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Hybrid (San Francisco, CA)$168k - $280kfull-timePosted 3w ago

About the role

Senior Software Engineer on the Financial AI Product Team building AI-enabled backend systems for financial workflows (onboarding, payments, reconciliation, compliance, operational finance). Partner with product, design, operations, compliance, and platform teams to design production-grade AI-enabled financial capabilities and platform primitives.

Responsibilities

  • Build AI-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 evals, testing harnesses, observability, and feedback loops to measure AI quality in workflows where “almost always right” is not good enough.
  • Partner closely with product, design, operations, compliance, and platform teams to identify high-impact AI 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 AI-enabled and new AI native financial products.

Qualifications

  • 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 AI, LLMs, agents, evals, retrieval, structured extraction, or AI-assisted workflows.
  • Ability to reason clearly about where AI 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: you can take a problem from vague customer pain through architecture, implementation, rollout, measurement, and iteration.

Skills

Required:Software engineering fundamentalsBackend designReliability and operational riskApplied AI / AI workflows

Benefits

  • Competitive salary
  • Benefits
  • Equity
Last updated Sep 30, 2026. Interested? Apply on the company site.
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About Rippling

#1 Workforce Management System | HR, IT, Finance

Rippling eliminates the friction from running a business, combining HR, IT, and Finance apps on a unified data platform.

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