About This Role
Wells Fargo is seeking a...
In This Role, You Will
- 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
Required Qualifications
- 2+ years of software engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
Required Qualifications For Europe, Middle East & Africa Only
- Experience in software engineering, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
Desired Qualifications
- Foundational knowledge of C# and .NET / .NET Core, with understanding of objectoriented programming principles.
- Basic experience building or consuming RESTful APIs and working with relational databases (SQL, CRUD operations).
- Familiarity with software engineering best practices, including clean code, version control, unit testing, and collaborative development using Git.
- Exposure to frontend and scripting technologies such as Python, JavaScript, AJAX, jQuery, and Angular or React.
- Understanding of Generative AI and Large Language Models (LLMs) and their use in modern applications.
- Working knowledge of Agentic AI concepts, including goaldriven agents, planning, and multistep execution, with exposure to frameworks such as LangChain or LangGraph.
- Awareness of RAG concepts, vector databases, or prompt engineering. Basic familiarity with DevOps concepts, including CI/CD and build pipelines.
- Strong problemsolving skills, eagerness to learn new technologies, and interest in AIdriven and enterprisegrade platforms.
- Ability to collaborate effectively in crossfunctional teams and work comfortably in Agile / Scrum environments.
Reference Number
R-526923
