The Opportunity

About This Role Wells Fargo is seeking a Senior Software Engineer.

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.

In This Role, You Will

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

Required Qualifications

4+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education

Desired Qualifications

We are seeking a Senior Python Developer with a strong background in building scalable, resilient, and highly available microservices Gen AI enabled application. The candidate should have good experience in developing microservices based enterprise application, event-driven app, and using NoSQL DB - MongoDB. Team member will work with Wells Fargo India and onshore partners and implement the required solutions.
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.
(Technical Skills):
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 OCP (OpenShift Container Platform) is preferred.
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.
Non-Technical:
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.
Desired / Good to have Skills:Understanding of Banking/Lending domain

Reference Number R-529163

The Opportunity

About Wells Fargo