ML Engineer: Multi-Agent LLM Systems (Remote-First)

United States Digital Space LLC; United States; Remote; USD 61,206 - 74,808; Full time

Job summary

United States Digital Space LLC is seeking a Machine Learning Engineer to design and scale multi-agent AI systems powering customer support workflows. You will connect LLMs with internal APIs and tools to deliver fast, compliant AI-powered experiences for millions of customers.

This remote-first company emphasizes quarterly in-person surges and a high-intensity environment. Candidates should have 3+ years of production ML/AI experience and strong Python, LangGraph, MCP, and vector database

Qualifications

• 3+ years building and scaling ML/AI systems in production.
• Experience implementing agentic Loop or ReAct based systems.
• Strong Python, microservices, async programming, high-throughput APIs.

Responsibilities

• Architect multi-agent systems to automate customer support end-to-end.
• Build and scale integrations connecting LLMs with internal APIs and tools.
• Develop automated evaluation pipelines for AI agents in production.
• Implement RAG, fine-tuning, and prompt engineering for compliant responses.
• Ship production-ready Python services for company-scale traffic.
• Collaborate with Design and Product to translate business logic into agent procedures.

Skills

ML production systems

Multi-agent orchestration

Python

Stakeholder communication

Tools

LangGraph

Google ADK

Model Context Protocol (MCP)

Pydantic

Pinecone/Weaviate

Job description

United States Digital Space LLC is seeking a Machine Learning Engineer to design and scale multi-agent AI systems powering customer support workflows. You will connect LLMs with internal APIs and tools to deliver fast, compliant AI-powered experiences for millions of customers.

This remote-first company emphasizes quarterly in-person surges and a high-intensity environment. Candidates should have 3+ years of production ML/AI experience and strong Python, LangGraph, MCP, and vector database