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).
- Solid 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.

📌 AI Engineer (Remote) (Bengaluru)
🏢 Innowhyte
📍 Bengaluru