Senior Specialty Software Engineer – Enterprise Generative AI Platform UI and Python Engineering

Wells Fargo•Concord, CA

1d•Hybrid

About The Position

Wells Fargo is seeking a hands-on Senior Specialty Software Engineer within Digital Technology – AI Capability Engineering to build core user-facing experiences for the Enterprise Generative AI Platform, with strong emphasis on UI engineering, Python development, and enterprise AI application delivery. This role is for an exceptional engineer who is heavy on UI, highly productive in Python, and capable of building polished, performant, and maintainable software across the full stack. The engineer will develop the user experiences and supporting service layers that power Enterprise Generative AI Platform products such as developer portals, AI chat and workflow interfaces, runtime dashboards, operational tooling, and agent-enabled product surfaces.

Requirements

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

Nice To Haves

4+ years of experience in Python
3+ years of experience building modern web UI applications
2+ years of experience in AI/ML or Generative AI application development
Experience building and integrating APIs, microservices, or event-driven backend services
Strong UI engineering skills using technologies such as React, TypeScript, JavaScript, HTML5, CSS, and modern component-based design patterns
Experience building enterprise-grade internal tools, platform portals, dashboards, and highly interactive application interfaces
Strong Python development skills including frameworks, API development, async patterns, and service integration
Familiarity with agentic AI frameworks such as LangChain, LangGraph, CrewAI, AutoGen, Swarm, Google ADK, or equivalent
Experience with chat applications, orchestration-driven UX, streaming responses, and workflow-based interfaces
Exposure to OpenShift, Kubernetes, GCP public cloud, Azure, and modern DevOps practices
Experience with Git, CI/CD, automated testing, and agile development methodologies
Strong problem-solving skills with the ability to troubleshoot and resolve complex technical issues
Strong collaboration and communication skills with the ability to work effectively with cross functional teams
Bachelor’s or master’s degree in computer science, software engineering, artificial intelligence, or a related field

Responsibilities

Design, develop, test, and deploy software modules and platform capabilities for the Enterprise Generative AI Platform
Build rich, responsive, and highly usable UI experiences for internal AI products, platform consoles, and workflow-driven applications
Develop and maintain scalable applications using Python, APIs, microservices, and modern frontend technologies
Engineer frontend components and interaction patterns for chat experiences, streaming responses, form-heavy workflows, dashboards, and control panels
Collaborate with enterprise teams to integrate platform UIs with AI services, agent runtimes, model endpoints, orchestration services, and platform APIs
Implement reusable components, UI state management patterns, and design-system-aligned development standards
Optimize application performance across frontend rendering, service latency, API interactions, and user workflow responsiveness
Build backend capabilities in Python that support frontend needs including orchestration endpoints, metadata services, execution tracking, and runtime status APIs
Troubleshoot and resolve complex technical issues across UI and service layers
Contribute to automated testing, code quality, documentation, and secure software delivery practices
Stay up to date with advancements in Generative AI, agent frameworks, UI engineering, and Python ecosystem tooling
Partner with product owners, architects, designers, and other engineers to translate product requirements into elegant technical solutions
Assist and mentor other engineers in advanced software development and platform engineering best practices