Senior Software Engineer, Cash Line

Upstart · Fintech · Remote · Engineering

Senior Software Engineer role at Upstart focused on building backend systems for a new AI-driven revolving credit product. The role involves designing and delivering production-grade services for underwriting, pricing, and servicing, with a strong emphasis on integrating AI decisioning into real-time user flows and applying generative AI to customer-facing features and internal tooling. Requires experience with distributed systems, object-oriented programming, and fluency with generative AI systems in production.

What you'd actually do

  1. Design and deliver production grade backend systems that power a new consumer revolving credit product.
  2. Own services that support underwriting, pricing, line management, transactions, ledgering, and servicing with strong guarantees around correctness, reliability, and observability.
  3. Break down ambiguous product and economic requirements into clear technical designs and milestones, driving projects independently from design through launch and iteration.
  4. Partner with machine learning engineers to productionize models and integrate AI driven decisioning into real time user flows with strict latency and reliability constraints.
  5. Apply generative AI in practical ways, shaping customer facing AI features as well as internal tooling, automation, testing, and developer productivity workflows.

Skills

Required

  • Bachelor’s degree in Computer Science, Engineering, or Mathematics, or a related field (or its equivalent) + 4 years of experience
  • Strong experience designing distributed systems and event driven architectures, including handling real world concerns such as idempotency, retries, race conditions, data consistency, and failure recovery.
  • Proficiency in an object oriented programming language such as Python, Java, Kotlin, C#, or Ruby, and experience designing APIs and working with relational databases and caching layers.
  • Experience shipping consumer facing features end to end, with a clear understanding of performance, reliability, and user impact.
  • Fluency with generative AI systems in production, including hands on experience building, integrating, or operating Gen AI powered features or workflows. Comfortable working with LLM APIs, prompt design, evaluation, guardrails, and monitoring in real world systems.
  • Demonstrated ability to operate autonomously, lead medium to large scoped projects, and make sound technical tradeoffs in ambiguous environments.
  • Strong communication skills and comfort collaborating closely with cross functional partners across product, finance, compliance, and operations.

Nice to have

  • Experience in fintech, credit, payments, or other regulated financial systems.
  • Familiarity with revolving credit products, transaction processing systems, or ledger based architectures.
  • Experience building systems that bridge consumer applications and capital markets or funding infrastructure.
  • Entrepreneurial mindset—comfortable in dynamic environments, with a bias toward action and ownership.
  • Strong product instincts and interest in understanding the economics behind pricing, risk, and unit economics.
  • Hands on experience applying generative AI to customer facing features, internal tools, or engineering workflows.
  • Entrepreneurial mindset with a bias toward ownership, speed

What the JD emphasized

  • AI driven underwriting
  • generative AI as a core capability
  • production grade backend systems
  • integrate AI driven decisioning into real time user flows
  • Fluency with generative AI systems in production
  • hands on experience building, integrating, or operating Gen AI powered features or workflows
  • working with LLM APIs, prompt design, evaluation, guardrails, and monitoring in real world systems

Other signals

  • AI driven underwriting
  • generative AI as a core capability
  • production grade backend systems
  • integrate AI driven decisioning into real time user flows