GenAI Engineer Role

Job Title: Generative AI Engineer (5+ Years Experience) Location: Charlotte NC Experience: 5+ Years About the Role We are seeking a highly skilled Generative AI Engineer to design, develop, and deploy cutting-edge AI solutions powered by large language models (LLMs), multimodal AI, and advanced machine learning techniques. The ideal candidate will have strong experience in AI/ML, deep learning, NLP, and hands-on expertise in building and deploying GenAI applications at scale. Key Responsibilities • Design, develop, and deploy Generative AI applications using LLMs (e.g., GPT, LLaMA, Claude, etc.) • Build and optimize prompt engineering, fine-tuning, and RAG (Retrieval-Augmented Generation) pipelines • Develop scalable AI solutions using frameworks like LangChain, LlamaIndex, or Semantic Kernel • Work on model evaluation, benchmarking, and optimization for performance, latency, and cost • Integrate AI/ML models with backend systems, APIs, and cloud platforms • Implement vector databases (e.g., Pinecone, FAISS, Weaviate) for semantic search and knowledge retrieval • Collaborate with cross-functional teams to define AI use cases and deploy production-ready solutions • Ensure AI governance, security, and ethical AI practices • Stay updated with the latest advancements in GenAI, NLP, and AI infrastructure Required Skills & Qualifications • 5+ years of experience in software development, machine learning, or AI engineering • Strong proficiency in Python and experience with ML frameworks (PyTorch, TensorFlow) • Hands-on experience with LLMs, prompt engineering, and fine-tuning techniques • Strong understanding of NLP concepts and transformer architectures • Experience building RAG pipelines and embedding-based search systems • Familiarity with vector databases and semantic search techniques • Experience with REST APIs, microservices architecture, and backend development • Good knowledge of cloud platforms (Azure, AWS, GCP) and AI services • Experience with containerization (Docker, Kubernetes) is a plus Preferred Qualifications • Experience with multimodal models (text, image, audio) • Exposure to MLOps tools (MLflow, Kubeflow, CI/CD pipelines) • Understanding of AI safety, bias mitigation, and compliance frameworks • Experience with data engineering pipelines and big data technologies • Contributions to open-source AI/ML projects Key Competencies • Strong problem-solving and analytical skills • Ability to work in fast-paced, innovation-driven environments • Excellent collaboration and communication skills • Continuous learning mindset with passion for AI advancements Nice to Have • Experience with chatbots, copilots, or AI assistants • Knowledge of graph databases or knowledge graphs • Familiarity with LLMOps and AI observability tools