AI Platform Engineer

Huayun North America, Inc. (Maxta); Palo Alto (CA); Hybrid; USD 120,000 - 210,000; Full time

Benefits offered by this job

Competitive salary + equity

Work on real AI infrastructure, not AI

Direct access to cutting-edge hardware

Flexible remote/hybrid options

Full benefits package

Job summary

Huayun North America, Inc. (Maxta) is seeking an experienced backend/infrastructure engineer to help build production-grade AI infrastructure.

You will contribute to MaxtaOS compute scheduling, MaxModel deployment pipelines, and LangGraph-based multi-agent systems for industrial AI applications. Join a hands-on team with access to cutting-edge hardware, including Jetson AGX Thor and RTX Pro, and enjoy a flexible remote/hybrid work model, competitive compensation with equity, and a full benefits

Qualifications

• 4+ years in backend/infrastructure engineering.
• Strong Python skills; Go or Rust is a plus.
• Experience with LLM frameworks (LangChain, LangGraph, or similar).
• Familiarity with RAG pipelines, vector databases (Qdrant, Milvus, FAISS).
• Experience with containerization and CI/CD.
• Understanding of GPU computing basics.

Responsibilities

• Build and optimize GPU resource management and scheduling algorithms.
• Develop model packaging and deployment automation (MaxModel pipeline).
• Implement LangGraph multi-agent workflows for industrial AI (MaxPlant.ai).
• Integrate RAG systems with enterprise knowledge bases (RAGFlow, vector DBs).
• Write production-grade Python/Go services with comprehensive testing.
• Deploy and optimize on edge hardware (NVIDIA Jetson AGX Thor).

Skills

Backend engineering

Python

CI/CD

GPU knowledge

Distributed systems

Tools

Go

Rust

LangChain

LangGraph

Qdrant

Milvus

FAISS

Docker

Kubernetes

Job description

Description Join the Maxta engineering team to build production-grade AI infrastructure. You will work on MaxtaOS compute scheduling, MaxModel deployment pipelines, and LangGraph-based multi-agent systems for industrial AI applications.

Description Join the Maxta engineering team to build production-grade AI infrastructure. You will work on MaxtaOS compute scheduling, MaxModel deployment pipelines, and LangGraph-based multi-agent systems for industrial AI applications.

What You Will Do

• Build and optimize GPU resource management and scheduling algorithms
• Develop model packaging and deployment automation (MaxModel pipeline)
• Implement LangGraph multi-agent workflows for industrial AI (MaxPlant.ai)
• Integrate RAG systems with enterprise knowledge bases (RAGFlow, vector DBs)
• Write production-grade Python/Go services with comprehensive testing
• Deploy and optimize on edge hardware (NVIDIA Jetson AGX Thor)

Requirements

• 4+ years in backend/infrastructure engineering
• Strong Python skills; Go or Rust is a plus
• Experience with LLM frameworks (LangChain, LangGraph, or similar)
• Familiarity with RAG pipelines, vector databases (Qdrant, Milvus, FAISS)
• Experience with containerization and CI/CD
• Understanding of GPU computing basics

Benefits

• Competitive salary + equity
• Work on real AI infrastructure, not chatbot wrappers
• Direct access to cutting-edge hardware (Jetson Thor, RTX PRO 6000)
• Flexible remote/hybrid options
• Full benefits package