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Software Engineer, AI Engineer (Applied​/Software), Cloud Engineer - Software

Job in Charlotte, Mecklenburg County, North Carolina, 28245, USA
Listing for: Judge Group, Inc.
Full Time position
Listed on 2026-06-12
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Cloud Engineer - Software, Software Engineer
Salary/Wage Range or Industry Benchmark: 53 - 57 USD Hourly USD 53.00 57.00 HOUR
Job Description & How to Apply Below
Location: Charlotte, NC
Salary: $53.00 USD Hourly - $57.00 USD Hourly
Description:
Software Engineer - Generative AI & Intelligent Automation (Contract)

Location: Charlotte, NC (Onsite - 5 days/week)
Employment Type: Contract (6 months)
Positions Available: 1
Work Authorization: No visa sponsorship available
Relocation Assistance: Not available
About the Role

We are seeking a Senior Software Engineer to join the Consumer Intelligent Automation & AI team within Consumer Technology. This role will support a newly formed Agentic Engineering group focused on building enterprise-grade, generative AI and automation solutions that impact millions of customers.

As a Senior Software Engineer, you will design, develop, test, and deploy advanced AI-driven applications. You will work within a dedicated engineering pod, collaborating closely with engineering leaders, product partners, and platform teams to deliver scalable, secure, and compliant solutions in a highly regulated environment.

This role requires strong hands-on development experience, deep knowledge of automation platforms, and practical expertise with generative and agentic AI frameworks.
Responsibilities
  • Design, develop, test, deploy, and maintain enterprise-grade software and AI applications
  • Lead moderately complex engineering initiatives and contribute to large-scale technology planning
  • Translate architectural designs into scalable, maintainable, and secure implementations
  • Build and deploy AI applications using LLMs, agent frameworks, and enterprise APIs
  • Implement agentic AI design patterns, prompt engineering, retrieval-augmented generation (RAG), and fine-tuning techniques
  • Integrate AI solutions with existing enterprise systems while meeting governance, security, and compliance requirements
  • Review and resolve moderately complex technical challenges involving multiple technologies and frameworks
  • Serve as a technical escalation point and guide less experienced engineers
  • Troubleshoot complex application, automation, and model-related issues
  • Collaborate with cross-functional teams including Product, Engineering, and Platform partners
  • Stay current on advancements in generative AI, LLMs, and agent frameworks and apply best practices to production systems
Required Qualifications
  • 4+ years of software engineering experience or equivalent practical experience
  • 2+ years of hands-on experience with Generative AI, large language models, or foundation models
  • 2+ years of experience with Python
  • 2+ years of experience with REST API development and containerization technologies (Docker, Kubernetes)
  • 2+ years of experience with cloud platforms (Google Cloud Platform, Azure, Kubernetes, or Open Shift)
  • 2+ years of experience using Git-based version control (branching, pull requests, collaborative workflows)
  • Hands-on experience with:
    • Microsoft Power Platform (Power Apps, Power Automate, Power BI, Copilot Studio)
    • Intelligent automation and orchestration tools (UiPath, Alteryx, IDP solutions)
    • Agentic AI frameworks (Lang Chain or equivalent)
Required Certifications
  • UiPath Certification
  • Microsoft Power Platform Certification
Preferred Qualifications
  • Experience designing agent-based or AI workflow orchestration systems
  • Experience with LLM platforms such as OpenAI, Anthropic, Google Gemini, Vertex AI, or Gitogenin
  • Experience with vector databases and retrieval systems (Elasticsearch, Open Search, Pinecone, Weaviate)
  • Familiarity with LLM observability and evaluation (latency, cost, accuracy, grounding, drift detection, safety)
  • Knowledge of ML lifecycle tooling including CI/CD pipelines, model registries, and feature stores
  • Experience working in regulated industries such as financial services
  • Understanding of responsible AI principles, governance, and compliance
  • Experience optimizing AI performance, prompt efficiency, and cost management
  • Strong communication and documentation skills
  • Prior experience mentoring or leading engineers
Work Environment & Expectations
  • Fully onsite position (5 days per week) in Charlotte, NC
  • Contract role (6 months)
  • Not eligible for relocation or visa sponsorship
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Contact:

This job and many more are available through The Judge Group. Please apply with us today!
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