Software Engineer, Generative AI Solutions

Wells Fargo & Company•Concord, CA

1d•$37 - $70•Hybrid

About The Position

Wells Fargo is seeking a Software Engineer in Technology as part of Consumer Technology and Generative AI. Consumer Technology team is building a new, world-class Generative AI Solution Engineering group, and we are looking for enthusiastic Software Engineers to join our team of innovative builders. This is your chance to work on cutting-edge technology that will impact millions of customers and help shape the future of finance. As a Software Engineer, you will be a key contributor to the development, testing, and deployment of sophisticated Generative AI applications. You will work within a dedicated engineering pod, collaborating with senior engineers to transform architectural designs into robust, scalable, and secure software. If you are passionate about writing high-quality code and solving complex problems in the AI space, we want you on our team. Learn more about the career areas and lines of business at wellsfargojobs.com

Requirements

2+ years of software engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
2+ years of experience in Python.
1+ years of experience in Generative AI, LLMs, or other machine learning domains.
1+ years of experience with either GCP, AZURE OR OpenShift

Nice To Haves

Experience with AI orchestration frameworks like LangChain or LlamaIndex.
Knowledge of secure coding practices and enterprise-grade application security principles.
Familiarity with building and consuming RESTful APIs.
Contributions to open-source projects related to AI or software engineering.
Experience in the financial services industry.

Responsibilities

Participate in low to moderately complex initiatives and projects associated with the technology domain, including installation, upgrades, and deployment efforts
Identify opportunities for service quality and availability improvements within the technology domain environment
Design, code, test, debug, and document for low to moderately complex projects and programs associated with technology domain, including upgrades and deployments
Review and analyze technical assignments or challenges that are related to low to medium risk deliverables and that require research, evaluation, and selection of alternative technology domains
Present recommendations for resolving issues or may escalate issues as needed to meet established service level agreements
Exercise some independent judgment while also developing understanding of given technology domain in reference to security and compliance requirements
Provide information to technology colleagues, internal partners, and stakeholders