Job Summary

• Participate in low to moderately complex initiatives and projects associated with the technology domain, including installation, upgrades, and deployment efforts.
• Design, code, test, debug, and document for low to moderately complex projects and programs associated with technology domain, including upgrades and deployments.
• Wells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic.

Matching Summary

Skills & Requirements

Key Requirements

• 2+ years software engineering experience
• BFSI GCC or Product Engineering experience
• LLM orchestration frameworks
• model context protocols
• embedding techniques
• model evaluation frameworks
• frontend development with React.js
• vector databases
• prompt engineering techniques
• containerization and microservices architecture
• semantic search and document retrieval
• structured and unstructured data processing
• version control using GitHub
• CI/CD pipelines
• globally distributed teams in Agile scrums
• Google ADK & A2A
• AutoGen, and OpenAI APIs
• GCP Vertex AI & Azure AI Foundry
• LLM inferencing
• enterprise use cases for Generative AI
• responsible AI practices
• MLOps concepts for LLM applications
• security best practices for AI applications

Work Rights