Cyber AI Senior Specialty Software Engineer

Wells Fargo•Columbus, OH

15d•$119,000 - $224,000•Hybrid

About The Position

Wells Fargo is seeking a Cyber AI Senior Specialty Software Engineer that will be responsible for the design, development, testing, documentation, and analysis of specific modules or features of new or upgraded software systems and products. In this role, you will: 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

Requirements

4+ years of Specialty Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
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

Nice To Haves

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
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
Experience with the agile development methodologies and version control systems such as GIT
Certification in AI, machine learning or a related field
Bachelor’s or master’s degree in computer science, artificial intelligence or a related field

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