Location: Remote Employment Type: Full-time Experience: 3+ years Job Summary We are looking for an experienced AI/ML Engineer to research, develop, and optimize AI language models for text generation and semantic search. The ideal candidate will work on embedding models, inference optimization, and distributed AI training while ensuring performance, security, and scalability in an on-premise or cloud environment. Key Responsibilities � Research, develop, and fine-tune AI language models for text generation. � Implement and optimize embedding models for semantic search and retrieval. � Work on distributed model training and inference optimization for efficient performance. � Collaborate with backend engineers to integrate AI models into the application. � Ensure AI model security, performance, and scalability in on-premise and cloud deployments. Requirements Hands-on experience with Generative AI and LLM (Large Language Models). Experience in setting up on-premises systems for LLM solutions. Exposure to voice-enabled Chatbot is mandatory. � Strong knowledge of Natural Language Processing (NLP), deep learning, and machine learning. � Experience with AI frameworks like TensorFlow, PyTorch, or similar. � Hands-on experience with vector databases (Elasticsearch, Weaviate, Milvus, FAISS). � Proficiency in deploying AI models using Docker, Kubernetes, and CI/CD pipelines. � Familiarity with RAG-based AI solutions, LangChain, LlamaIndex is a plus. � Bachelor//'s/Master//'s degree in Computer Science, AI, Machine Learning, or a related field