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
Position Overview
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.
Key Responsibilities
- 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 OpenShift (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
Required Qualifications
- 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
- OpenShift (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
Desired Qualifications
- Experience with:
- LangChain
- LangGraph
- LangSmith
- Multi-agent orchestration
- Vector databases
- MCP (Model Context Protocol)
- Familiarity with:
- Google ADK
- Semantic Kernel
- AutoGen
- Responsible AI frameworks
- Enterprise AI governance
- LLM-as-a-Judge evaluation techniques
- Experience with:
- NumPy
- Pandas
- PostgreSQL
- ETL pipelines
- S3 data handling
- AI evaluation frameworks
- Financial services industry experience preferred
Ideal Candidate Profile
- 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
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