Agentic AI Engineer - Agentic AI Engineer – Python, Vertex AI(Gemini) LangChain, LangGraph, ADK, [TECH STACK] PRIMARY: - Python - LangChain - LangGraph - Vertex AI - Embedding Models -Prompt Engineering - Evaluation Models -RAG SECONDARY: - Vector Databases (FAISS, Pinecone) - LLM APIs (GCP) - Docker & CI/CD basics EXCLUDE: - Pure front-end roles - Traditional ML Ops without GenAI work [REQUIREMENTS] - 2 years of experience in AI engineering with strong Python expertise. - Hands-on experience building agentic or tool-using AI systems. - Strong understanding of Vertex AI (Gemini), LangGraph and model fine-tuning workflows. - Experience with LangChain for agent/tool orchestration. - Knowledge of vector embeddings, retrieval pipelines, and LLM integration. - Knowledge of GCP (BigQuery, GCS) [EVALUATION TOPICS] Topic Weight Type (Mandatory / Preferred) Python & Systems Design 30% Mandatory GCP Vertex AI, Prompt Eng 25% Mandatory LangChain & Agent Design 25% Mandatory Retrieval, Vector DBs 10% Preferred Deployment & Optimization 10% Preferred [INTERVIEW FOCUS] [HIGH] - Python depth (async, multiprocessing, performance) - Vertex AI (Gemini), Embedding Models, Prompt Engineering, Evaluation Models - Building agentic workflows and tool-calling logic [MEDIUM] - Vector search design - Prompt engineering for agent behavior - Deployment/static analysis of model behavior MUST: - Ability to design and debug agent loops - GCP Vertex AI - Strong understanding of LLM constraints and safety