Software Engineer

Charlotte, NC, US • Posted 1 day ago • Updated 4 hours ago
Contract Independent
On-site
USD $69.00 - 74.00 per hour
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Job Details

Skills

  • Unstructured Data
  • Backend Development
  • Systems Design
  • Product Engineering
  • RESTful
  • Flask
  • Django
  • Extraction
  • Workflow
  • Software Development Methodology
  • Development Testing
  • Sprint
  • Collaboration
  • Scalability
  • Mentorship
  • Software Engineering
  • Python
  • API
  • Relational Databases
  • Software Development
  • Generative Artificial Intelligence (AI)
  • LangChain
  • LangSmith
  • Orchestration
  • Microsoft Certified Professional
  • Evaluation
  • Cloud Computing
  • Google Cloud
  • Google Cloud Platform
  • Continuous Integration
  • Continuous Delivery
  • Identity Management
  • Data Processing
  • NumPy
  • Pandas
  • Extract
  • Transform
  • Load
  • PostgreSQL
  • Data Storage
  • Amazon S3
  • Financial Services
  • Artificial Intelligence
  • Semantics
  • Autogen
  • Supply Chain Management
  • Document Processing
  • .NET
  • Privacy
  • Marketing

Summary

Location: Charlotte, NC
Salary: $69.00 USD Hourly - $74.00 USD Hourly
Description:
Software Engineer, Generative AI

Location: Charlotte, NC or Irving, TX (Hybrid: 3 days onsite required)
Employment Type: Contract (18 months, potential extension or conversion)
Org: COO Technology (Supply Chain Technology)

About the Role

We are seeking a Software Engineer (Generative AI) to design and build scalable AI-powered solutions that transform supply chain document processing. You will be a key technical contributor on a team developing agent-based generative AI systems that extract, interpret, and act on structured and unstructured data.

This role combines modern AI engineering, backend development, and distributed systems design. You'll collaborate closely with product, engineering, and business stakeholders to ship high-impact solutions in a fast-paced environment.
What You'll Do
  • Design, develop, and deploy Generative AI-powered applications and agent-based workflows
  • Build and maintain RESTful APIs and backend services using Python frameworks (FastAPI, Flask, Django)
  • Develop and scale systems for document extraction and processing within supply chain workflows
  • Contribute to end-to-end SDLC, including architecture, design, development, testing, and deployment
  • Lead or contribute to delivering AI agents (~1 per 1-2 sprint cycles)
  • Evaluate and integrate LLMs and GenAI frameworks into production systems
  • Collaborate cross-functionally with engineers, product partners, and stakeholders
  • Apply engineering best practices for scalability, observability, and reliability
  • Mentor team members and contribute to technical standards and design decisions
Minimum Qualifications
  • 5+ years of software engineering experience (or equivalent practical experience)
  • 3-5 years of recent Python development, including backend and API services
  • 3-5 years of experience working with relational databases
  • Experience building REST APIs in production environments
  • ~1 year (9-12 months) of hands-on Generative AI development
  • Experience working across the full software development lifecycle
Preferred Qualifications
  • Experience productionizing Generative AI systems using industry-standard frameworks
  • Familiarity with GenAI tooling such as LangChain, LangGraph, LangSmith, or similar
  • Experience with multi-agent systems, orchestration, or Model Context Protocol (MCP)
  • Knowledge of evaluation frameworks and LLM evaluation techniques (e.g., LLM-as-a-judge)
  • Experience with cloud platforms (Google Cloud Platform preferred), OpenShift, or containerized environments
  • Familiarity with CI/CD pipelines and Identity & Access Management
  • Strong experience with data processing tools (NumPy, Pandas, ETL pipelines)
  • Experience with PostgreSQL and object storage systems (e.g., S3)
  • Familiarity with AI governance and responsible AI principles
  • Prior experience in the financial services industry
Nice to Have
  • Experience with enterprise AI frameworks (e.g., Google ADK, Semantic Kernel, AutoGen)
  • Exposure to supply chain systems or document processing platforms
Working Model
  • Hybrid: 3 days per week onsite (mandatory)
  • Locations: Charlotte, NC or Irving, TX
Additional Information
  • Net new position
  • High emphasis on hands-on experience (not theoretical or inflated resumes)
  • Candidate submissions must follow supplier guidelines


By providing your phone number, you consent to: (1) receive automated text messages and calls from the Judge Group, Inc. and its affiliates (collectively "Judge") to such phone number regarding job opportunities, your job application, and for other related purposes. Message & data rates apply and message frequency may vary. Consistent with Judge's Privacy Policy, information obtained from your consent will not be shared with third parties for marketing/promotional purposes. Reply STOP to opt out of receiving telephone calls and text messages from Judge and HELP for help.

Contact:

This job and many more are available through The Judge Group. Please apply with us today!
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: cxjudgpa
  • Position Id: 1133315
  • Posted 1 day ago

Company Info

About Judge Group, Inc.

The Judge Group, is a leading professional services firm specializing in talent, technology, and learning solutions. We consult, staff, train, and solve. Through our work we make people and organizations better.

Our services are successfully delivered through a network of more than 30 offices across the United States, Canada, and India. The Judge Group is proud to partner with the best and brightest companies in business today, including over 60 of the Fortune 100. We serve organizations in financial services, healthcare, life sciences, insurance, government (including aerospace and defense), manufacturing, and technology and telecommunications.

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