Python, risk assessment methodologies related to AI systems, regulatory requirements and compliance standards in AI, Responsible AI, ethical AI frameworks and guidelines

Java, Data Structures, Kafka, Redis, Deep Learning, Algorithms, Gcp, MLops, Pytorch, Postgres, Python, AWS, Go

Power Automate, Azure Functions, Rest Apis, Azure Storage, Azure Relay, embeddings, vector search, AI orchestration frameworks, Microsoft Teams, LLMs, Log Analytics, Generative AI technologies

REST, Java, Typescript, Kafka, AWS, Python, Kubernetes, Gcp, Javascript, RAG pipelines, Open-source LLMs, Go, Schema validation, GRPC, Structured data handling

Python, Pytorch, Tensorflow, Falcon, Llama, LoRA

Databases, Cloud Services, MLops, Apis, Docker, Terraform, Kubernetes, Generative AI, LLMs, RAG solutions, MLflow

graph databases , Python, vector stores, embeddings, rerankers, production RAG search, ML backend engineering, IR systems

S3, Dynamodb, Memory Management, Sql, Lambda, Typescript, Javascript, Rest Apis, Python, Api Gateway, Generative AI, Step Functions, Agent Frameworks, AI Guardrails, EventBridge, AWS AI Services, Claude Models, MCP Model Context Protocol, RAG, Amazon Bedrock, Prompt Engineering, Microsoft Copilot Studio

Python, LangGraph, AI evaluation and testing methodologies, Pydantic, prompt engineering

Python, LangChain, embeddings, pgvector, Qdrant, LLM integration, vector databases, Pinecone, gRPC APIs, LangGraph, agentic workflows, prompting, Weaviate, LlamaIndex, function calling, RAG architectures