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

Wells Fargo
Charlotte, United States of America
6 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Charlotte, United States of America

Tech stack

JavaScript
API
Agile Methodologies
Artificial Intelligence
Application Integration Architecture
Application Performance Management
HTML5
Automation of Tests
Azure
CSS
Software Quality
Continuous Integration
Control Panels
Software Design Patterns
DevOps
Design of User Interfaces
Python
Openshift
Software Maintenance
Webui
Software Engineering
TypeScript
Google Cloud Platform
Software Modules
React
Multi-Agent Systems
Software Security
Generative AI
Core Api
Backend
GIT
AI Platforms
Kubernetes
Information Technology
Front End Software Development
Virtual Agents
Api Design
Microservices

Job description

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.

In this role, you will:

  • 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

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

Desired Qualifications:

  • 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

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