Jobs · Engineering · North Carolina

Lead Agentic AI Engineer

Experis · Charlotte, NC · 2 wk ago
On-siteEngineeringContract

About the role

Our client, Consumer Intelligent Automation & AI is seeking a Software Engineer 4 - Contingent to join their team. As a Software Engineer 4 - Contingent, you will be part of the Agentic Engineering group supporting enterprise-grade AI products. The ideal candidate will have a strong drive to build agentic automated applications, hands-on experience designing and deploying Generative AI solutions, and the ability to collaborate in a fast-moving engineering pod to deliver secure, scalable outcomes. Location: Charlotte, NC or Irving, TX.

Responsibilities

  • Discover, design, develop, test, and deploy sophisticated agentic automation applications that support consumer lending across the organization.
  • Lead moderately complex initiatives within an engineering pod, translating architectural designs into robust, scalable, and secure software.
  • Build and integrate Generative AI capabilities using enterprise APIs, LLMs, agent frameworks, and related technologies.
  • Implement AI engineering patterns such as prompt engineering, retrieval augmented generation (RAG), fine-tuning, and agentic design patterns.
  • Troubleshoot complex application and model-related issues while contributing to continuous improvement of AI systems.

Requirements

  • 4+ years of software engineering experience (or equivalent through a combination of work experience, training, military service, or education).
  • 2+ years of experience working with Generative AI, large language models, or foundation models.
  • 2+ years of experience with either GCP, Azure, Kubernetes, or OpenShift.
  • 2+ years of experience with Python and 2+ years of REST API development and containerization technologies such as Docker and Kubernetes.
  • 2+ years of experience using Git for source code version control, including branching, pull requests, and collaborative development workflows.

Skills

  • Python
  • REST API development
  • Docker and Kubernetes
  • GCP, Azure, Kubernetes, OpenShift
  • Git (branching, pull requests, collaborative workflows)
  • Generative AI, LLMs, foundation models
  • Enterprise APIs
  • Agent frameworks
  • Prompt engineering
  • Retrieval augmented generation (RAG)
  • Fine-tuning
  • Agentic design patterns

Benefits

  • Work on advanced, enterprise-grade AI products with real impact on millions of customers.
  • Join a high-value, high-growth team with a startup-like feel where you can contribute without excessive hand holding.
  • Collaborate in a dedicated engineering pod and partner with technical leaders to deliver measurable outcomes.
  • Build agentic automation that helps scale AI across consumer technology.
  • Opportunity to lead and mentor while strengthening your AI engineering and software delivery skills.

Pay

Pay Range: $65‑$70 per hour

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