Job Description
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
Requirements
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