This list contains only the countries for which job offers have been published in the selected language (e.g., in the French version, only job offers written in French are displayed, and in the English version, only those in English).
Wells Fargo is seeking a Senior Software Engineer for the development of Artificial Intelligence (AI) enabled applications in Commercial Lending area. The successful candidate will be able to build and maintain reliable, secure, and scalable AI solutions for business-critical application.
Job Responsibility:
Lead moderately complex initiatives and deliverables within technical domain environments
Contribute to large scale planning of strategies
Design, code, test, debug, and document for projects and programs associated with technology domain, including upgrades and deployments
Review moderately complex technical challenges that require an in-depth evaluation of technologies and procedures
Resolve moderately complex issues and lead a team to meet existing client needs or potential new clients needs while leveraging solid understanding of the function, policies, procedures, or compliance requirements
Collaborate and consult with peers, colleagues, and mid-level managers to resolve technical challenges and achieve goals
Lead projects and act as an escalation point, provide guidance and direction to less experienced staff
Build Large Language Model (LLM) powered applications that support powerful capabilities for internal Wells Fargo users, with a focus on agentic workflows, prompt engineering, evaluations, and safety guardrails
Build systems utilizing Large Language Models (LLM) involving data ingestion pipelines, reliable service orchestration, backend application state management, and data layer implementation
Design, code, test, and document solutions that align with business goals
Collaborate and consult with key technical experts and technology teams to resolve complex technical issues and achieve goals
Participate effectively in the entire software development life cycle
Responsible for application development, maintenance, and security requirements
Collaborate with US partners for requirement understanding and solution discussions
Collaborate with Product Team, Scrum Master, Developers, QA and any other stakeholders as needed
Stay current on emerging technologies in AI to continue to the strategy discussion for future capability development
Requirements:
4+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
7+ years’ experience in backend application software development, with strong programming experience on Python and NoSQL database MongoDB
Strong software development skills in Python, with experience working on Agentic AI frameworks (any one of Google ADK (preferably) Lang chain, Langgraph) and tools in cloud environments
Proficiency in designing and developing multi-agent systems with one of the listed frameworks where multiple AI agents collaborate to achieve complex tasks
Experience on GenAI enabled solutions, Retrieval-Augmented Generation (RAG) and agentic workflows, with a strong understanding of prompt engineering, grounding, and extensibility
In depth experience of python framework and tools such as NumPy, Pandas, pyMongo
Design, develop, and deploy microservices components using Python
build backend services using FastAPI
Design and implement secure REST APIs for consumption by a React application
Consume services provided by interface systems
Implement event-driven architecture and use messaging queues such as Kafka, RabbitMQ or ActiveMQ for asynchronous processing
Experience on Model Context Protocol (MCP) servers and clients to expose internal services, APIs, and data stores to LLMs in secure way
Write complex MongoDB queries and perform data aggregation
Experience with MongoDB for database management and data retrieval
Understanding of Cloud principles and experience on developing applications hosted on cloud environment
Experience with CI/CD technologies such as GitHub, GitHub Actions, Harness, Artifactory, Sonar, open shift/Kubernetes, Docker etc
Experience on automated unit testing framework Pytest, magicmock
Knowledge of ML, NLP, GCP Services particularly Document AI, Information Retrieval, Summarization and LLMs
Experience on agile software development lifecycle
Understanding of high availability, scalability, and resilience in software systems
Ensure efficient multithreading and concurrency in backend processes
Capable of reasoning and thinking through problems and developing desired solutions, independently or with others as required
Capable of mentoring team members on solution design and implementation
Strong problem-solving and analytical skills
Good written and verbal communication
Ability to understand team dynamics and use interpersonal skills and personal judgment to achieve goals
Nice to have:
Understanding of Banking/Lending domain
Experience with OCP (OpenShift Container Platform) is preferred