Search...

Staff Software Engineer AI Applications

Plaid logo
Plaid

Plaid is a financial technology company providing APIs and network connectivity for businesses to build financial products. Its platform supports bank-account linking, financial data access, identity verification, fraud and risk tools, credit underwriting, and bank payments.

Series D8 current maintainers7 active leads1 new active lead2 lead step-downsTeam intelligence

Maintainer signals as of 8/12/2026

Distributed

Funding history

About Plaid

Plaid operates a financial data network and API platform that lets businesses connect to financial institutions and build financial experiences. Its products support account and identity verification, real-time balance and transaction data, investment and liability data, income and underwriting workflows, fraud and AML risk checks, and multi-rail bank payments. It serves developers, businesses, financial institutions, platforms, lenders, banks, and consumer-facing financial-product providers.

View jobs by Plaid

Skills

Candidate Availability

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

About the Role

You will lead projects that scale AI customer and partner integrations and develop GenAI-powered products. You will 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
  • 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)