Sr Ai Engineer

Description:

- Generative AI (GenAI) Development: Implementing LLM-based applications such as RAGs, AI chatbots, and AI agents
- LLM Frameworks & Libraries: LangChain, Hugging Face Transformers, OpenAI API
- Fine-Tuning & Model Optimization: Custom fine-tuning of LLMs (LoRA, QLoRA)
- LLM Security & Privacy: Implementing security best practices in AI applications
- Prompt Engineering: Optimizing AI responses for different tasks
- AI Model Pipelines & Deployment: Managing, monitoring, and scaling AI models in production locally(vLLM, TGI, Triton)
- MLOps & Model Monitoring: for tracking models and performance
- Programming & Development: Python and AI framework (Pytorch)
- Scalable AI Deployment: Running AI workloads on local infrastructure
Containerization & Orchestration
- Vector Databases & Knowledge Retrieval: Pinecone, FAISS, ChromaDB
API Development & Integration
- Data Engineering & Preprocessing: Working with structured & unstructured data to extract and clean