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

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