Senior AgenticRAG Engineer – Python & GCP and AWS

Agentic RAG

Python ( must have )

AWS & GCP (must have)

Agentic RAG ( hands on experience min 12 months)

DevOps ( Terraform, Docker, kubernetes, CI / CD tools)

Senior AgenticRAG Engineer to design, build, and operationalize the nextgeneration of Retrieval-Augmented Generation (RAG) platforms for autonomous AI agents.

This is a hands-on engineering role with a strong focus on Python-based backend development, full-stack integration, and cloud-native deployment.

You will work at the intersection of Generative AI, AgenticOps, and LLMOps, enabling scalable, observable, and safe execution of RAG workflows and intelligent agent pipelines.

While GCP will be your primary platform, your designs should accommodate multi-cloud

deployments (AWS, Azure, etc.).

Requirements

Core

• 5+ years of Python development experience, with strong backend or full-stack expertise.
• Solid experience with modern web frameworks (FastAPI, Django, Flask) and frontend frameworks (React, Vue, Svelte, or similar).
• Hands-on with LLM integration frameworks like LangChain, LangGraph, LlamaIndex, AutoGen, CrewAI.
• Experience building and maintaining RAG pipelines, vector DB workflows, and retrieval-based architectures.
• Proficient with GCP services (Vertex AI, Compute Engine, Cloud Functions, Kubernetes Engine, Cloud Storage, Pub / Sub).
• Strong DevOps / infra skills : Docker, Kubernetes, Terraform, CI / CD tools, monitoring / observability.
• Understanding of secure API design, authentication / authorization, and agent sandboxing best practices.