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Plaid Logo Plaid · IT - Software Development

Staff Software Engineer - AI Applications

United States, San Francisco 228360.00 - 369800.00 USD / Year · Job Posted March 20, 2026
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Job Description

We build simple yet innovative consumer products and developer APIs that shape how everybody interacts with money and the financial system. You will have the opportunity to join as one of the founding members of this newly formed team that is dedicated to consolidating and rapidly scaling our successful bets so far, and grow with the team in our quest to accelerate Plaid’s transformation into an AI-first company.

Job Responsibility

  • Work with other 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, propose and implement AI-powered solutions where they’re expected to have the highest impact
  • Design and execute rapid experiments to push the boundaries on potential business impact from emerging AI capabilities, with a focus on minimal viable testing approaches
  • Balance creative exploration of possibilities with rigorous evaluation of technical feasibility, product potential and business impact

Requirements

  • Strong SWE fundamentals (system design, APIs, etc.)
  • Hands-on experience working with LLMs to build products and shipping them to product with iterating with real user feedback - including but not limited to: Prompt engineering
  • Fine-tuning
  • Retrieval augmented generation (RAG)
  • Semantic search - vector database and embedding models
  • Agent orchestration framework
  • Evaluation and monitoring framework of 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 and user needs through user research and rapid experimentation - be your own technical PM
  • Ability to balance divergent thinking (exploring possibilities) with convergent thinking (evaluating feasibility), which is critical for driving 0 ->1 projects
  • Extremely curious and passionate about working in GenAI applications space

Nice to have

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