AI Engineer

We are hiring an AI Engineer specializing in LLMs (Large Language Models), Retrieval-Augmented Generation (RAG), and Generative AI. The role involves building advanced AI solutions that leverage state-of-the-art technologies.

Key Responsibilities

• Design, fine-tune, and deploy LLMs using frameworks like Hugging Face or OpenAI APIs.
• Build and implement RAG pipelines with vector databases (e.g., Pinecone, FAISS).
• Develop Generative AI solutions, including chatbots, summarization, and content creation tools.
• Preprocess, clean, and annotate datasets for training and evaluation.
• Optimize models for performance using techniques like quantization and pruning.
• Deploy scalable solutions in production using Docker, Kubernetes, and cloud platforms (AWS, GCP, Azure).
• Monitor and troubleshoot deployed models for accuracy and reliability.
• Collaborate with cross-functional teams to align AI capabilities with business objectives.
• Stay updated with advancements in AI/ML research and integrate best practices.

Requirements

• Proficiency in Python and NLP frameworks (Hugging Face, spaCy, PyTorch, TensorFlow).
• Strong understanding of transformer architectures and generative models like GPT or BERT.
• Experience with vector search databases (Pinecone, Weaviate, Elasticsearch).
• Familiarity with cloud-based AI platforms and containerization tools.
• Excellent problem-solving, analytical, and communication skills.