GENAI Engineer

Required Skills :
Strong programming expertise in Python and experience with PySpark
Hands-on experience with AWS Cloud services (Bedrock, SageMaker, Lambda, S3, etc.)
Experience with Kubernetes and containerized deployments
Deep understanding of LLMs, GenAI tools, and frameworks
Experience in building RAG-based architectures
Knowledge of vector databases (e.g., FAISS, Pinecone, OpenSearch, etc.)
Familiarity with prompt engineering and evaluation techniques
Strong understanding of ML lifecycle and MLOps practices

Preferred Qualifications:
Experience with LangChain, LlamaIndex, or similar frameworks
Knowledge of model fine-tuning and evaluation
Exposure to data engineering pipelines and big data tools
Experience with monitoring tools and observability frameworks