Software Engineer Gen AI @ Wells Fargo

About this role:

Wells Fargo is seeking a Software Engineer.

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

Desired Qualifications:

• Work as a Generative AI engineer developing enterprise-scale AI applications
• Design, implement, and optimize LLM-based solutions using state-of-the-art frameworks
• Lead Gen AI initiatives focused on developing intelligent agents and conversational systems
• Design and build robust LLM interfaces and orchestration pipelines
• Develop evaluation frameworks to measure and improve model performance
• Implement prompt engineering techniques to optimize model outputs
• Integrate Gen AI capabilities with existing enterprise applications
• Build and maintain frontend interfaces for AI applications
• Strong proficiency in Python/Java and LLM orchestration frameworks (LangChain, LangGraph)
• Basic Knowledge of model context protocols, RAG architectures, and embedding techniques
• Experience with model evaluation frameworks and metrics for LLM performance
• Proficiency in frontend development with React.js for AI applications
• Experience with UI/UX design patterns specific to AI interfaces
• Experience with vector databases and efficient retrieval methods
• Knowledge of prompt engineering techniques and best practices
• Experience with containerization and microservices architecture
• Strong understanding of semantic search and document retrieval systems
• Working knowledge of both structured and unstructured data processing
• Experience with version control using GitHub and CI/CD pipelines
• Experience working with globally distributed teams in Agile scrums

Job Expectations:

• Understanding of enterprise use cases for Generative AI
• Knowledge of responsible AI practices and ethical considerations
• Ability to optimize AI solutions for performance and cost
• Well versed in MLOps concepts for LLM applications
• Staying current with rapidly evolving Gen AI technologies and best practices
• Experience implementing security best practices for AI applications