Agentic AI
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Job Location:
Salary:
Experience Required:
Posted on:
6 hours ago
Vacancies:
1 Vacancy
Job Summary
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
Required Skills:
react
