[Growth Engineering] Staff Back-end Engineer I
Core
Build intelligent, low-latency data infrastructure and AI-native systems for a global e-commerce platform, including LLM-powered analytics, agentic RAG systems, and AI-augmented development lifecycles.
Role type
Staff Back-end Engineer (AI-Native Data & Infrastructure)
Builds
AI-native data platforms, Enterprise Knowledge Graphs, Agentic RAG systems, and AI-augmented CI/CD pipelines.
Domain
E-commerce, AI/ML Infrastructure, Data Engineering
Deliverable
production ML models | infrastructure
Required skills
Python, FastAPI, stateful graph orchestration (LangGraph), Vector DBs, Graph DBs, containerized model deployment, MLOps, automated evaluation frameworks, LLM safety/governance.
Preferred skills
Modern MLOps, cross-regional collaboration, Text-to-SQL/API implementation.
Technologies
Python, FastAPI, LangGraph, Vector DBs, Graph DBs, Triton Inference Server, MLflow.
Responsibilities
Design systems incorporating LLM-powered analytics and natural language querying; Architect multi-step retrieval-augmented generation (RAG) loops and hybrid storage layers; Pioneer stateful, agentic workflows for software development; Establish automated evaluation benchmarks and guardrails for responsible AI.
Seniority
Staff, hands-on IC with end-to-end ownership
