Staff Software Engineer AI Applications

Plaid is a financial data network and fintech infrastructure company that helps people securely connect financial accounts to digital financial services.

Series D0 current maintainers0 active leadsTeam intelligence

Maintainer signals as of 9/2/2026

San Francisco, United States

Funding history

About Plaid Inc.

Plaid provides developer infrastructure and financial tools for account connectivity, financial data access, bank payments, identity verification, AML monitoring, credit and underwriting, and fraud prevention. Its network supports thousands of fintech companies and more than 12,000 financial institutions across the United States, Canada, the United Kingdom, and Europe.

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Skills

Candidate Availability

Required and preferred rules are kept separate and reflect the wording in the original posting.

About the Role

Lead projects that scale AI customer and partner integrations and develop GenAI-powered products. Design backend services and frontend applications, collaborate with AI and machine learning engineers, run rapid experiments, evaluate technical and business impact, and improve agentic customer experiences.

Requirements

  • Backend services experience.
  • Microservices or service-oriented architecture experience.
  • Hands-on experience with LLMs.
  • Prompt engineering.
  • Fine-tuning.
  • Retrieval augmented generation.
  • Semantic search, vector databases, and embedding models.
  • Agent orchestration frameworks.
  • Evaluation and monitoring frameworks.
  • Streaming and SSE.
  • GenAI product UX and design patterns.
  • Production debugging and monitoring.
  • User research and rapid experimentation.

Responsibilities

  • Develop and evolve integrations with AI providers.
  • Redefine consumer link experiences for conversational interfaces.
  • Architect the trust layer for agentic commerce.
  • Design and maintain scalable backend services and APIs.
  • Build high-quality frontend applications.
  • Architect and implement GenAI-powered products.
  • Run rapid experiments.
  • Evaluate technical feasibility, product potential, and business impact.
  • Improve multi-turn and multi-agent customer support systems.
  • Extend agentic systems across the customer journey.

Benefits

  • Equity
  • Medical insurance
  • Dental insurance
  • Vision insurance
  • 401(k)