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Staff Software Engineer - AI Applications

Leads development of AI-powered fintech applications, building scalable backend services, frontend experiences, and GenAI features like agent orchestration and RAG for customer support and integrations. Requires hands-on LLM experience, full-stack skills, and ability to experiment rapidly with user feedback.

228k – 370kSan Francisco, CAFullstack EngineeringHybrid

About the role

Responsibilities

  • Build across the stack: design, develop, and maintain scalable backend services and APIs, as well as intuitive, high-quality frontend applications.
  • Work with AI engineers, software engineers, and machine learning engineers to architect, design, and implement GenAI-powered products and features.
  • Collaborate across functions to understand user needs and propose/implement AI-powered solutions with highest impact.
  • Design and execute rapid experiments to push boundaries on business impact from emerging AI capabilities, focusing on minimal viable testing.
  • Balance creative exploration with rigorous evaluation of technical feasibility, product potential, and business impact.

Requirements

  • Experience building backend services and working with microservices or service-oriented architectures.
  • Strong working knowledge of HTML, CSS, JavaScript, and modern frontend frameworks or libraries.
  • Hands-on experience working with LLMs to build and ship products, iterating with real user feedback, including:
    • Prompt engineering
    • Fine-tuning
    • Retrieval augmented generation (RAG)
    • Semantic search - vector database and embedding models
    • Agent orchestration frameworks
    • Evaluation and monitoring frameworks for open-ended tasks
    • Streaming and SSE
    • Common UX and design patterns for GenAI-powered products
  • Strong debugging and monitoring experience for production systems.
  • Ability to deeply understand customer/user needs through user research and rapid experimentation.
  • Ability to balance divergent and convergent thinking for 0→1 projects.
  • Extremely curious and passionate about GenAI applications.

Nice-to-Haves

  • Experience training/serving ML models in production, or fine-tuning LLMs for domain-specific use cases.
  • Comfortable operating in privacy/PII-sensitive environments with compliance mitigations.

Skills

JavaScriptHTMLCSSLLMsPrompt EngineeringFine-TuningRAGSemantic SearchVector DatabasesEmbedding ModelsAgent OrchestrationMicroservicesGenerative AIStreamingSse

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