Agentic AI Engineer

data engineering , Machine Learning, MLops, Algorithm Design, Deep Learning, Cloud Platforms, AI Ethics, Python Programming Language, Generative AI LLMs

tokenization , Machine Learning, Yaml, Json, Python, Summarization, metadata filtering, vector search, chunking, hybrid retrieval, reranking, query rewriting, classification models, embedding generation, named entity extraction, retrieval systems

Python, LangChain, Vector Databases, LLM Integration, Prompt Engineering, Generative AI, LangGraph, MCP Protocol

Security Compliance, Memory Management, agentic AI systems, RAG pipelines, AI architecture, orchestration planning, scalable AI system architectures, model deployment strategies, model lifecycle management

state management , Unit Testing, Python, Redis, FastAPI, Shared Memory, multi-agent systems, DeepEval, PgVector, RAGAS, LangGraph, RAG fundamentals, retrieval, Agno, Pydantic, custom eval harnesses, OpenAI Gemini, LLM evaluation, CrewAI, LangChain, answer grounding, tool function calling, Anthropic APIs, embedding vector search, orchestration framework, prompt engineering, async, LLM applications