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Cyber AI Senior Specialty Software Engineer - AI Applications - Software Development

Wells Fargo

$119,000 - $224,000
Sep 22, 2025
Iselin, NJ, US • Charlotte, NC, USA • Columbus, OH, USA • Minneapolis, MN, USA • Chandler, AZ, USA • Irving, TX, USA
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Wells Fargo is seeking a Cyber AI Senior Specialty Software Engineer to design, develop, test, document, and analyze new or upgraded software systems and products, focusing on AI applications and integration with existing systems.

Requirements

  • 4+ years experience in software development
  • 4+ years experience in Python, Java, OpenShift containers, GCP public cloud, and other relevant technologies
  • 3+ years of AI and ML concepts, including deep learning, natural language processing or computer vision
  • Knowledge of Chatbots, Transformer models, SWE-Bench is preferred
  • Familiarity with agentic frameworks like LangChain, LangGraph, Swarm, CrewAI, AutoGen, Google ADK
  • Exposure to DevOps and testing best practices
  • Experience with the agile development methodologies and version control systems such as GIT

Responsibilities

  • Design, develop, and deploy AI applications using Enterprise APIs, LLM's, agent frameworks, and other related technologies
  • Collaborate with enterprise teams to integrate LLM models with the existing products and systems
  • Develop and maintain large scale applications using Java, Python, OpenShift containers, GCP public cloud, and other relevant technologies
  • Deploy containerized applications using Docker and Kubernetes
  • Stay up to date with the latest advancements in AI, LLM second agentic frameworks and apply this knowledge to improve existing systems and develop new ones
  • Troubleshoot and resolve complex technical issues related to applications and models
  • Assist other individuals in advanced software development

Other

  • This position offers a hybrid work schedule
  • This position is not eligible for Visa sponsorship
  • Excellent problem-solving skills with the ability to troubleshoot and resolve complex technical issues
  • Strong collaboration and communication skills with the ability to work effectively with cross functional teams
  • Certification in AI, machine learning or a related field