Typescript, Node.js, Python, DynamoDB or another NoSQL store

PostgreSQL, Docker, Python, Databases, Apis, Redis, Cloud Infrastructure, RAG embeddings, pgvector, memory context management, tool-calling systems, backend fundamentals, vector databases, LangGraph, OpenAI Agents SDK, production infrastructure, Multimodal AI, LLM evaluation, observability, LLM AI systems, PydanticAI, async systems, agentic workflows, Hybrid search reranking, stateful AI systems, MCP, LlamaIndex

Java, Api Integration, Typescript, Gcp, System Design, Azure, Python, AWS, Prompt engineering, pgvector, Vector databases, Go, Generative AI LLM application development, Pinecone, agentic workflows, RAG, AI agents, Weaviate, LLM evaluation, LLM-powered application feature

Git, Machine Learning, Artificial Intelligence, Rest Apis, Python, Generative AI, LLMs, basic cloud concepts, AI APIs, Prompt Engineering

Power Bi, Tableau, Sql, Python, Scripting, Quick-commerce marketplace reporting, n8n, Anthropic, Metabase, Zapier, LLM APIs, ShopifyQL, RAG, vector DBs, Looker Studio, OpenAI, Gemini

Python, LangChain, LLM deployment, AI Agents, tool calling, MCP Servers, memory sharing, LangGraph, Agentic AI, RAG, deploying and integrating LLM-based applications, Langflow

Python, Tensorflow, Jax, BigQuery, Pytorch, Tuning, FastAPI, Nlp, Flask, Vertex Search, Vertex AI, Prompt design, BERT, Gemini, Vector stores, Pub/Sub, Embeddings, Transformer models, GCP services, Generative AI models, Cloud Functions

data engineering , Sql, ELT, Api Integration, Etl, Workflow Design, Data Quality, Python, Data Modeling, Document Processing, Tool Calling, RAG Data Pipelines, LLM development, Prompt Engineering, Scalable AI Deployments, Agent Orchestration, Cloud native Development, RAG, LangChain, AI Coding Assistants, LangGraph, AI Service Integration, LLM Data Integration