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Lead Software Engineer

Wells Fargo

$119,000 - $224,000
Sep 4, 2025
Iselin, NJ, US • Charlotte, NC, USA
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Wells Fargo is seeking a Lead Software Engineer to join their Fraud and Claims Technology team to build secure, scalable systems that protect customers from fraud and disputes, influencing customer trust and the company's bottom line.

Requirements

  • 2+ years of experience with AI programming languages and framework
  • 2+ years of experience in prompt engineering and LLM technologies, including crafting and optimizing AI prompts, leading best practices, and managing prompt libraries for scalable, high-quality AI outputs.
  • Expertise in prompt engineering, including crafting context-rich prompts and optimizing AI outputs.
  • Experience with A/B testing and iterative refinement of AI-generated content.
  • Familiarity with LLM technologies, prompt libraries, and strategic tool selection.
  • Background in AI and NLP, including deep learning and neural networks.
  • Knowledge of fraud management tools and techniques.

Responsibilities

  • Write clean, efficient, and well-tested code that integrates seamlessly with platform releases.
  • Design, test, and refine prompts to optimize AI model performance across various applications.
  • Stay current with advancements in AI and NLP, incorporating new techniques into prompt engineering.
  • Collaborate in an Agile environment with architects, developers, and product owners to deliver high-quality solutions.
  • Align prompt design with project goals and user needs through close collaboration with AI developers and product managers.
  • Promote best practices in software development, architecture, and deployment across environments.
  • Participate in code reviews and automated testing to uphold engineering excellence.

Other

  • 5+ years of experience in Software Engineering, demonstrated through work experience, training, military service, or education.
  • 5+ years of experience in Agile Software Development.
  • Strong collaboration skills with cross-functional teams including data scientists, developers, and product managers.
  • Leadership experience in mentoring prompt engineers and establishing best practices.
  • Domain expertise in legal and compliance within the financial services sector.