Job Title: Generative AI Engineer (Java/Python)
Location: Charlotte, NC
Job Summary
We are seeking a skilled Generative AI Engineer with expertise in Java or Python to design, develop, and deploy AI-driven applications leveraging large language models (LLMs), machine learning, and deep learning techniques. The ideal candidate will have strong programming skills, hands-on experience with AI/ML frameworks, and the ability to build scalable and innovative AI-powered solutions.
Key Responsibilities
Design, develop, and implement Generative AI models for tasks such as text generation, summarization, image generation, code generation, and conversational AI.
Build APIs and microservices integrating AI models into production systems.
Fine-tune and optimize pre-trained LLMs (e.g., GPT, LLaMA, Falcon, Mistral, or similar) for business-specific use cases.
Apply Natural Language Processing (NLP), deep learning, and reinforcement learning techniques to enhance model performance.
Collaborate with data engineers, ML engineers, and product teams to define use cases and deliver AI-driven solutions.
Ensure scalability, efficiency, and security of deployed AI models.
Research and implement the latest trends and advancements in Generative AI.
Monitor, evaluate, and improve AI systems using appropriate metrics.
Required Skills & Qualifications
Strong programming skills in Java and/or Python.
Solid understanding of machine learning, deep learning, and NLP techniques.
Hands-on experience with frameworks such as TensorFlow, PyTorch, Hugging Face Transformers, LangChain, or Keras.
Experience working with cloud platforms (AWS, Azure, GCP) for AI/ML deployment.
Familiarity with API development, microservices, and containerization (Docker, Kubernetes).
Strong problem-solving skills and the ability to work in an agile, collaborative environment.
Bachelor's/Master's in Computer Science, Data Science, AI/ML, or a related field.
Preferred Qualifications
Experience with vector databases (e.g., Pinecone, Weaviate, Milvus, FAISS).
Knowledge of prompt engineering, RAG (Retrieval-Augmented Generation), and fine-tuning LLMs.
Familiarity with MLOps practices (CI/CD for ML, model monitoring, experiment tracking).
Prior exposure to Generative AI for enterprise applications (chatbots, copilots, content generation).
Contributions to open-source AI/ML projects.
Location: Charlotte, NC
Job Summary
We are seeking a skilled Generative AI Engineer with expertise in Java or Python to design, develop, and deploy AI-driven applications leveraging large language models (LLMs), machine learning, and deep learning techniques. The ideal candidate will have strong programming skills, hands-on experience with AI/ML frameworks, and the ability to build scalable and innovative AI-powered solutions.
Key Responsibilities
Design, develop, and implement Generative AI models for tasks such as text generation, summarization, image generation, code generation, and conversational AI.
Build APIs and microservices integrating AI models into production systems.
Fine-tune and optimize pre-trained LLMs (e.g., GPT, LLaMA, Falcon, Mistral, or similar) for business-specific use cases.
Apply Natural Language Processing (NLP), deep learning, and reinforcement learning techniques to enhance model performance.
Collaborate with data engineers, ML engineers, and product teams to define use cases and deliver AI-driven solutions.
Ensure scalability, efficiency, and security of deployed AI models.
Research and implement the latest trends and advancements in Generative AI.
Monitor, evaluate, and improve AI systems using appropriate metrics.
Required Skills & Qualifications
Strong programming skills in Java and/or Python.
Solid understanding of machine learning, deep learning, and NLP techniques.
Hands-on experience with frameworks such as TensorFlow, PyTorch, Hugging Face Transformers, LangChain, or Keras.
Experience working with cloud platforms (AWS, Azure, GCP) for AI/ML deployment.
Familiarity with API development, microservices, and containerization (Docker, Kubernetes).
Strong problem-solving skills and the ability to work in an agile, collaborative environment.
Bachelor's/Master's in Computer Science, Data Science, AI/ML, or a related field.
Preferred Qualifications
Experience with vector databases (e.g., Pinecone, Weaviate, Milvus, FAISS).
Knowledge of prompt engineering, RAG (Retrieval-Augmented Generation), and fine-tuning LLMs.
Familiarity with MLOps practices (CI/CD for ML, model monitoring, experiment tracking).
Prior exposure to Generative AI for enterprise applications (chatbots, copilots, content generation).
Contributions to open-source AI/ML projects.