AI Generative Engineer

Job Title: Generative AI Engineer Location: Onsite at Alpharetta, GA Employment Type: Full Time About the Role We are seeking a highly skilled and motivated Generative AI Engineer to design, develop, and deploy cutting-edge AI solutions leveraging Large Language Models (LLMs), multimodal transformers, and generative algorithms. You will be working on innovative applications across content creation, chat interfaces, autonomous agents, and intelligent data synthesis. This is a high-impact role where your work will help shape next-generation AI capabilities. Key Responsibilities Develop and fine-tune LLMs (e.g., GPT, LLaMA, Mistral, Claude) for custom downstream tasks. Implement and optimize RAG (Retrieval-Augmented Generation) pipelines using tools like LangChain, LlamaIndex, or Haystack. Build end-to-end Generative AI applications for text, code, images, and audio. Leverage vector databases (e.g., FAISS, Pinecone, Weaviate, Qdrant) for embedding-based retrieval. Integrate APIs from foundation models (OpenAI, Anthropic, Cohere, HuggingFace, etc.) into product workflows. Work with multi-modal models and techniques (e.g., CLIP, DALL·E, Stable Diffusion, Gemini, etc.). Optimize model performance, latency, and scalability in production environments. Collaborate cross-functionally with ML, data, and product teams to identify and implement use cases. Stay up-to-date with state-of-the-art advancements in generative AI and apply them proactively. Required Qualifications Bachelor's or Master's degree in Computer Science, Machine Learning, or related field. Experience in ML/AI engineering and strong experience with generative AI or LLMs. Proficiency in Python, with experience using libraries like Transformers (HuggingFace), LangChain, PyTorch, or TensorFlow. Strong understanding of NLP, deep learning, and transformer architectures. Experience building scalable ML pipelines and deploying models to production (Docker, Kubernetes, etc.). Familiarity with prompt engineering, fine-tuning, and model evaluation techniques. Job Type: Full-time Pay: $140,000.00 per year Benefits: 401(k) Dental insurance Health insurance Paid time off Experience: LLM: 7 years (Required) RAG (Retrieval-Augmented Generation) : 7 years (Required) Work Location: In person