Software Engineer 4 - 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 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 #J-18808-Ljbffr