Title Generative AI Engineer Location Charlotte, NC Work Engagement: W2 Work Schedule: Hybrid
Benefits on offer for this contract position: Health Insurance Life insurance 401K and Voluntary Benefits
Summary In this contingent resource assignment, you may: Consult on complex initiatives with broad impact and large-scale planning for Business Execution. Review and analyze complex multi-faceted larger scale or longer-term Business Execution challenges that require in-depth evaluation of multiple factors including intangibles or unprecedented factors. Contribute to the resolution of complex and multi-faceted situations requiring solid understanding of the function policies procedures and compliance requirements that meet deliverables. Strategically collaborate and consult with client personnel.
Responsibilities Lead complex initiatives including creation, implementation, documentation, validation, articulation, and defense of highly advanced AI and Generative AI solutions. Deliver solutions for short and long-term objectives and provide analytical support for a wide array of business initiatives. Utilize neural network architectures including transformer-based models such as GPT, BERT, and others for driving operational efficiencies. Hands-on experience with fine-tuning training and deploying large language models (LLMs) in on-premises cloud or hybrid environments. Strong hold on tokenization, embeddings, and model evaluation metrics. Present results of analysis, solution recommendations, and AI-driven strategies for a variety of business initiatives. Review and validate models and help improve the performance of the model under the preview of regulatory requirements. Work closely with technology teams to deploy the models to production.
Qualifications Applicants must be authorized to work for ANY employer in the U.S. This position is not eligible for visa sponsorship.
Expertise in Python and key major frameworks like TensorFlow, PyTorch, and HuggingFace. Proficiency in LangChain and LangGraph in building LLM-powered applications using LangChain for integrating external data and tools and LangGraph for designing stateful workflows leveraging GraphDB to automate complex processes. Experience in using ML Ops tools for scaling and deploying models in production. Experience working with on Google Cloud Platform. Experience in Scala for processing large-scale data sets for use cases. Proficiency in Java, JavaScript, Node.js for back-end integrations and for building interactive AI-based web applications or APIs. Experience with SQL and NoSQL languages for managing structured, unstructured, and semi-structured data for AI and Generative AI applications. Required to work on multiple AI and Generative AI projects and work closely with business partners across the organization. Experience in building quick prototypes to check feasibility and value to business. Expert in developing and maintaining modular codebase for reusability.
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