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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