Sql, Python, LangChain, embeddings, RAG architecture, SLM APIs, vector databases, Anthropic, AutoGen, LangGraph, LLM APIs, GCP Vertex AI, memory systems, IBM WatsonX, OpenAI, Cohere, LlamaIndex

.NET, Apis, Typescript, Python, LangChain, embeddings, RAG vector databases, DevOps practices, AI observability practices, agentic workflows, AI retrieval systems, high-code stacks, Microsoft Agent Framework

Apis, orchestration frameworks, agent-based architectures, data science skills, GenAI use cases, enterprise data sources, LLMs, hallucination analysis, retrieval, quality evaluation, cost monitoring, prompt version tracking, testing and evaluation, vector databases, embeddings, human-in-the-loop feedback, observability, prompt optimization, model fine-tuning

API design, Grafana, Api Development, Distributed Systems, Prometheus, Kubernetes, Python, RAG pipelines, offline evaluation jobs, LLM APIs, OpenTelemetry, distributed tracing, embeddings, reranking, GCP tooling, LangChain, feature stores, ML system fundamentals, LangGraph, backend programming languages, batch pipelines, vector similarity, evaluation metrics, Vector DBs, retrieval quality, metadata systems, observability stacks