Senior AI‑Powered Backend Engineer — FinTech Platform

Rippling

Seattle (WA)

On-site

USD 168,000 - 280,000

Full time

2 days ago
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Job summary

Rippling is hiring a Senior Software Engineer for its Financial AI Product Team. You will help build AI-powered financial workflows, combining model-driven reasoning with deterministic execution in a production system.

The role emphasizes reliability, auditability, and secure engineering practices across global customer data. You will partner with product, design, and operations to identify high-impact AI opportunities and scale them into reusable platform primitives, while maintaining strong

Qualifications

  • Production-scale systems experience.
  • Backend/data modeling and API design experience.
  • Guardrails for model-driven workflows and AI safety.

Responsibilities

  • Build AI-powered capabilities for complex financial workflows such as onboarding, data ingestion, reconciliation, validation, and exception handling.
  • Design systems that combine model-driven reasoning with deterministic financial execution.
  • Create workflows that trace financial values to source evidence and halt problematic execution.
  • Develop ingestion and normalization pipelines for messy exports and vendor formats.
  • Implement evals, testing harnesses, observability, and feedback loops to measure AI quality.
  • Collaborate with product, design, operations, compliance, and platform teams to identify high-impact AI opportunities.

Skills

Software engineering fundamentals
Backend system design
Reliability & risk management
Applied AI interest
Ownership mindset

Job description

Rippling is hiring a Senior Software Engineer for its Financial AI Product Team. You will help build AI-powered financial workflows, combining model-driven reasoning with deterministic execution in a production system.

The role emphasizes reliability, auditability, and secure engineering practices across global customer data. You will partner with product, design, and operations to identify high-impact AI opportunities and scale them into reusable platform primitives, while maintaining strong

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