Requirements
- Hands‑on experience with LLMs, Generative AI frameworks, or similar ML/AI technologies.
- Proficiency in Python, API development, and backend engineering.
- Experience with Vector databases (Pinecone, FAISS, Chroma, Elasticsearch).
- Knowledge of RAG, embeddings, fine‑tuning, and prompt optimization techniques.
- Familiarity with ML frameworks such as PyTorch or TensorFlow.
- Experience deploying scalable AI solutions on AWS/Azure/GCP.
- Strong understanding of data pipelines, model lifecycle, and MLOps.

