AI​/LLM Engineer

Job Title: AI/LLM Engineer - Generative AI Solutions

Location: Charlotte, NC

We are looking for a highly skilled AI/LLM Engineer with deep experience in building and deploying Generative AI applications using modern frameworks and cloud infrastructure. This role focuses on designing scalable, production-ready AI systems powered by LLMs, Lang Chain, Lang Graph, and other state-of-the-art tools. The ideal candidate thrives in dynamic environments, collaborates across teams, and is passionate about applying cutting‑edge technologies to real‑world business problems.

• Build and deploy LLM-powered applications using Lang Chain and Lang Graph, including integration with external tools and development of stateful workflows with GraphDB.
• Develop and optimize models using Python
  , Tensor Flow
  , Py Torch , and Hugging Face
  .
• Scale and deploy AI models into production using MLflow and Kubeflow
  .
• Leverage Google Cloud Platform (GCP) services to manage AI pipelines and infrastructure.
• Work with Scala for processing large-scale data sets and support distributed AI applications.
• Implement back-end APIs and services using Java and JavaScript (Node.js).
• Utilize SQL and No
  
  SQL databases (e.g., MongoDB, Cassandra) to manage structured, semi-structured, and unstructured data.
• Collaborate with cross-functional teams and stakeholders to understand business requirements and deliver AI-driven solutions.
• Build quick prototypes to demonstrate feasibility and business value of AI use cases.
• Ensure all models are explainable, well-documented, and compliant with internal and external regulatory standards.
• Maintain a modular, reusable codebase for faster development cycles.
• Follow Agile development practices and actively participate in sprint planning, retrospectives, and reviews.
• Prepare detailed technical documentation for models, processes, and deployments that meet audit and compliance standards.

• Proven expertise in Python
  , and deep experience with Tensor Flow
  , Py Torch , and Hugging Face
  .
• Hands‑on experience with Lang Chain and Lang Graph for building GenAI workflows.
• Strong proficiency in ML Ops practices and tools such as MLflow and Kubeflow
  .
• Advanced knowledge of GCP
  , with experience deploying production systems.
• Experience in Scala for data-intensive processing.
• Back-end development skills in Java and Node.js
  .
• Deep understanding of SQL and No
  
  SQL data systems.
• Strong problem‑solving, analytical, and critical thinking abilities.
• Ability to manage multiple projects, prioritize tasks, and work both independently and within a team.