Apis, system integration, Python, Airflow, deployment practices, RAG embeddings, data pipelines, n8n, vector databases, make, Zapier, knowledge retrieval, workflow automation tools, LLM workflows, AI agents, AI inference-layer design

Apis, system integration, Python, Airflow, deployment practices, RAG embeddings, data pipelines, n8n, vector databases, make, Zapier, knowledge retrieval, workflow automation tools, LLM workflows, AI agents

OPA, LangChain, AI platforms, guardrail frameworks, vector databases, agent frameworks, Semantic Kernel, prompt engineering, LangGraph, retrieval augmented generation, model evaluation, OpenTelemetry, LLM Ops tooling, Langfuse, Pydantic, LLM application architecture

Iso 27001, LangChain, OPA, agent collaboration patterns, NIST AI RMF, AI engineering standards, guardrail frameworks, multi agent architecture, Responsible AI frameworks, prompt engineering, Semantic Kernel, LangGraph, OpenTelemetry, LLM Ops tooling, Langfuse, Pydantic, LLM provider selection

Java, Apis, Tensorflow, Pytorch, Gcp, Docker, Keras, Azure, Python, Kubernetes, AWS, AI ML solutions, R

model selection , Iso 27001, OPA, LLMOps tooling, NIST AI RMF, agent development tools, AI engineering standards, Responsible AI frameworks, LangGraph, technical frameworks, retrieval architecture, model evaluation, agent design, OpenTelemetry, Langfuse, Pydantic, integration patterns, agent mesh concepts, LangChain, agent collaboration patterns, multi-agent architecture, Model Context Protocol, discovery mechanisms, guardrail frameworks, reference architectures, Semantic Kernel, AI governance

Apis, Microservices, Gcp, Docker, Distributed Systems, Azure, Kubernetes, Python, AWS, LangChain, LLM infrastructure, agent-based architectures, observability tools, RAG pipelines, GenAI frameworks, LlamaIndex, model serving

Java, Gcp, Docker, Azure, Kubernetes, Python, AWS, LLMs, Go, AI ML technologies

Solidworks, Power Bi, Tableau, Python, Data Analysis, process integration optimization