Senior Engineer - AI_NLP

• Design, develop, and optimize LLM-based applications for various use cases such as chatbots, content generation, summarization, and code generation.
• Design, develop, and deploy high-performance Generative AI applications using Python, LLMs, and deep learning frameworks.
• Write clean, modular, and scalable code while ensuring best practices in software development.
• Fine-tune and deploy large-scale open-source and proprietary language models (e.g., OpenAI GPT, LLaMA, Mistral, Falcon, Claude).
• Implement prompt engineering, retrieval-augmented generation (RAG), and model optimization techniques to improve AI performance.
• Work with vector databases (FAISS, ChromaDB, Weaviate, etc.) for efficient retrieval and indexing of large datasets.

Core Competencies

• Collaborate with cross-functional teams, including data scientists, MLOps engineers, and product managers, to integrate AI models into production systems.
• Optimize model performance and reduce latency using quantization, distillation, and pruning techniques.
• Stay up to date with cutting-edge research in AI, NLP, and deep learning to continuously improve solutions.
• Knowledge of cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes) for model deployment.
• Strong problem-solving skills and experience working in an agile development environment.
• Strong problem-solving skills and experience working in an agile development environment.
• 3-7 years of experience in AI/ML, deep learning, or software development.