AI Platform Engineer

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

Position Details

Department

Engineering

Location

Silicon Valley, CA / Remote

Type

Hybrid

Experience

Mid-Senior

Salary Range

$140K – $200K + Equity

Python Go LangGraph RAG CUDA Docker Kubernetes Vector DB LLM