Senior Architect, Agentic AI & Multi-Agent Systems

United States Digital Space LLC; United States; Remote; USD 140,000 - 230,000; Full time

Job summary

United States Digital Space LLC seeks a Senior Machine Learning Engineer to architect, build, and deploy production-grade agentic AI systems and multi-agent workflows. You will design autonomous AI systems that collaborate, reason, and execute complex tasks with minimal human intervention.

You will create scalable agentic workflows using CrewAI/Langgraph while ensuring enterprise-grade deployment on major cloud platforms. Strong Python, ML, and DevOps skills are essential for success.

Qualifications

• 6-8 years of hands-on ML/AI engineering with production experience.
• Experience building multi-agent systems and agentic workflows (Langraph/CrewAI preferred).
• Strong proficiency in Python and ML frameworks; cloud deployment expertise.

Responsibilities

• Architect and build end-to-end multi-agent systems and agentic workflows.
• Design communication protocols and orchestration layers using CrewAI, Langgraph, and AutoGen.
• Develop memory, state management, and persistence for agent interactions.
• Deploy production-grade agentic systems on major cloud platforms with MLOps practices.
• Integrate LLMs for autonomous reasoning with RAG and PEFT techniques.

Skills

Python

ML Frameworks

Langraph/CrewAI

Cloud Platforms

CI/CD

DevOps

Vector DBs

LLMs

Tool-calling

Tools

Pinecone

Weaviate

ChromaDB

Docker

Kubernetes

Terraform

GitHub Actions

FastAPI

Job description

United States Digital Space LLC seeks a Senior Machine Learning Engineer to architect, build, and deploy production-grade agentic AI systems and multi-agent workflows. You will design autonomous AI systems that collaborate, reason, and execute complex tasks with minimal human intervention.

You will create scalable agentic workflows using CrewAI/Langgraph while ensuring enterprise-grade deployment on major cloud platforms. Strong Python, ML, and DevOps skills are essential for success.