SUMMARY:
ESSENTIAL SKILLS :

• Large Language Models (LLMs), RAG systems, multi agent frameworks (LangChain, LangGraph, GAIA)
• Python (Advanced), ML engineering (TensorFlow, PyTorch, Scikit learn)
• Vector Databases (FAISS, Pinecone, Elasticsearch/OpenSearch)
• Prompt Engineering & Context Orchestration
• MLOps (SageMaker, ML Pipelines, GitHub Actions, CI/CD)
• AWS AI/ML stack: SageMaker, Lambda, Step Functions, API Gateway, DynamoDB, S3
• Data Engineering: Spark, Kafka, SQL/NoSQL, ETL/ELT
• Docker, Kubernetes (EKS), Terraform
• Cloud Observability: CloudWatch, X Ray, logging/monitoring
• API & Microservices development
• Experience with Confluence, JIRA, and creating technical documentation
• Understanding of data governance, AI risk, security, compliance, and IAM
• Basic experience/understanding of AWS Components (in order of importance): ...