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Agentic AI Lead (Python) at Cloudious | JobVerse
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Agentic AI Lead (Python)
Cloudious
Website
Agentic AI Lead (Python)
Berkeley Heights, New Jersey, United States of America
Contract
1 week ago
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Key skills
Python
AI
RAG
LangChain
LlamaIndex
Agentic
AutoGen
LangGraph
Pinecone
Weaviate
Milvus
ETL
Google Cloud
GKE
IAM
Cloud Run
Vertex AI
Neo4j
Performance Optimization
CI/CD
About this role
Design and implement RAG pipelines on Google Cloud / Vertex AI (chunking, embeddings, indexing, retrieval, reranking, grounding).
Build agentic workflows (tool use, planning, reflection/guardrails, structured outputs) using Python-first frameworks.
Integrate agents with Graph DBs (e.g., Neo4j, JanusGraph, Neptune) and Vector DBs (e.g., Vertex Vector Search, Pinecone, Weaviate, Milvus, pgvector).
Create robust data ingestion/ETL from PDFs, docs, webpages, and internal sources; implement metadata strategy and access control.
Define and run evaluation (retrieval metrics, answer quality, hallucination/grounding checks), and improve system quality iteratively.
Ship to production: APIs, monitoring/observability, cost/performance optimization, CI/CD, and security best practices.
Must-have skills
Strong Python (clean architecture, async, testing, typing, packaging).
Proven experience building RAG solutions (hybrid search, reranking, chunking strategies, embeddings, prompt + schema design).
Hands-on with Vertex AI and Google Cloud Platform fundamentals (IAM, logging/monitoring, Cloud Run/GKE, storage).
Experience with at least one agentic framework (e.g., LangGraph/LangChain, LlamaIndex, Semantic Kernel, AutoGen) and tool/function calling patterns.
Solid knowledge of vector search concepts and at least one vector DB in production.
Comfortable with graph data modeling and graph querying (Cypher/Gremlin/SPARQL basics).
Strong engineering practices: code reviews, testing, telemetry, secure-by-design, reliability mindset.
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