AI Infra Engineer: Edge GPU Scheduling & Deployment

Maxta, Inc.; California; Hybrid; USD 120,000 - 150,000; Full time

Benefits offered by this job

Competitive salary

Equity

Full benefits package

Flexible remote/hybrid options

Direct access to cutting-edge hardware

Job summary

Maxta, Inc. is seeking candidates to join their engineering team in California, Missouri, to build production-grade AI infrastructure. The role involves developing GPU resource management algorithms, implementing multi-agent workflows, and working with advanced AI systems. Candidates should have over 4 years of backend engineering experience, strong Python skills, and familiarity with LLM frameworks. This position offers a competitive salary, equity options, and a full benefits package with flexible remote or hybrid work options.

Qualifications

• 4+ years in backend/infrastructure engineering.
• Strong Python skills; Go or Rust is a plus.
• Experience with LLM frameworks like LangChain or LangGraph.

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.

Skills

Backend engineering

Python

Go or Rust

LLM frameworks (LangChain, LangGraph)

RAG pipelines

Containerization

CI/CD

GPU computing

Tools

NVIDIA Jetson AGX Thor

Qdrant

Milvus

FAISS

Job 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
• 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

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