Software Engineer – GenAI​/Python Full Stack

Software Engineer 4 – GenAI / Python Full Stack

Contract:

18-Month Contract (Potential Extension or Conversion)

Location:

Charlotte, NC or Irving, TX

Schedule:

Hybrid – 3 Days Onsite Required
Interview Process: 1 Round – 45 Minute Virtual Panel
Line of Business: COO Technology / Supply Security & Resiliency

Seeking a senior Software Engineer with strong Python full-stack development experience and hands-on exposure to enterprise GenAI technologies. This role will support large-scale enterprise initiatives focused on modernizing and optimizing technology platforms within a complex enterprise environment.

The ideal candidate has deep experience building scalable Python applications, REST APIs, cloud-native solutions, CI/CD pipelines, and GenAI-enabled workflows using modern AI frameworks and orchestration tools.

• Design, develop, test, debug, and deploy scalable enterprise applications and APIs
• Build and support Python full-stack solutions using FastAPI, Flask, Django, and front-end integrations
• Develop and support cloud-native applications in Open Shift (OCP) and GCP environments
• Participate in all phases of the SDLC including architecture, development, testing, deployment, and support
• Implement CI/CD automation and integration processes
• Develop and support GenAI-enabled applications and intelligent workflows
• Build scalable AI evaluation and assessment frameworks
• Collaborate with engineering teams, business stakeholders, and enterprise architects
• Mentor junior engineers and contribute to engineering standards and best practices
• Support enterprise-grade resiliency, scalability, and operational excellence initiatives

• 5+ years of Software Engineering experience
• 5+ years of Python full-stack development experience
• Strong experience with:
  • FastAPI
  • Flask
  • Django
  • RESTful API development
  • Front-end integration
• 3+ years of experience with:
  • Autosys
  • Open Shift (OCP)
  • GCP or equivalent cloud platforms
  • CI/CD pipelines
  • Identity Access Management (IAM)
• 1+ year of GenAI development experience
• Strong analytical, troubleshooting, and problem-solving skills
• Ability to work independently and within enterprise-scale teams

• Experience with:
  • Lang Chain
  • Lang Graph
  • Lang Smith
  • Multi-agent orchestration
  • Vector databases
  • MCP (Model Context Protocol)
• Familiarity with:
  • Google ADK
  • Semantic Kernel
  • Auto Gen
  • Responsible AI frameworks
  • Enterprise AI governance
  • LLM-as-a-Judge evaluation techniques
• Experience with:
  • Num Py
  • Pandas
  • PostgreSQL
  • ETL pipelines
  • S3 data handling
  • AI evaluation frameworks
• Financial services industry experience preferred

• Senior Python engineer with enterprise cloud and GenAI experience
• Strong background in scalable distributed application development
• Comfortable working in highly regulated enterprise environments
• Experience building AI-enabled enterprise applications and automation solutions
• Strong collaborator with leadership and mentoring capabilities