Python, Embeddings and semantic search, Prompt engineering, LLM APIs, DevOps practices, Evaluation frameworks for LLMs and agents, API and backend system design

Python, data ingestion processing, Generative AI, knowledge repositories, multi-agent AI systems, vector databases, retrieval pipelines, AI frameworks, context engineering, semantic search, cloud environments

CDK, Jenkins, Typescript, Javascript, Docker, Terraform, Kubernetes, Python, LangChain, AWS Bedrock, pgvector, Pinecone, Platform Events, LangGraph, Agentcore, Agentforce, GitHub Actions, Vertex AI, Salesforce Apex, Weaviate

Kafka, Gcp, Flask, FastAPI, Azure, Python, AWS, CrewAI, LangChain, Generative AI, Agentic AI frameworks, LLMs, vector databases, Pinecone, LangGraph, AutoGen, Chroma, FAISS, RAG pipelines, Weaviate

bedrock , Java, Typescript, Gcp, MLops, Python, AWS, WDL, GA4GH standards, Go, Nextflow, Google Vertex AI, CWL

Python, Agentic AI systems, RAG Retrieval-Augmented Generation, ML DL model development, LLM integration, HTTP REST APIs, LLM-based applications, prompt engineering

Nosql, Gcp, Azure, Python, Sql, AWS