Remote AI Agent Architect: Scale Stateful Agents

Azumo; San Francisco (CA); Hybrid; USD 180,000 - 300,000; Full time

Benefits offered by this job

PTO

U.S. Holidays

Training

Mentored career development

Profit Sharing

$US Remuneration

Job summary

Azumo seeks an AI Agent Systems Architect to design and implement production-grade, multi-agent systems using LangGraph, LangChain and CrewAI. You will lead end-to-end development, from data prep and MCP integration to secure cloud deployment on Azure/AWS, while advancing MLOps pipelines and responsible AI safeguards.

Based in San Francisco, you will collaborate with data scientists and engineers, drive architectural decisions, and contribute to Azumo’s innovation roadmap by exploring research

Qualifications

• Bachelor’s degree in CS, data science or related field (Master’s preferred).
• 3+ years of exp deploying ML/NLP/Gen AI systems in production.
• Expert-level Python and software engineering fundamentals.
• Hands-on with stateful AI agent frameworks and tooling: LangGraph, LangChain, CrewAI, MCP, vector DBs.
• Experience with cloud deployment (Azure preferred; AWS acceptable) using Docker and serverless/microservice architectures.
• Strong written and verbal communication; professional English (C1).

Responsibilities

• Architect and code production-grade multi-agent systems with frameworks like LangGraph/CrewAI.
• Lead full-cycle development: data prep, tool integration via MCP, context-window recovery, containerization, secure cloud deployment.
• Implement MLOps/LLMOps pipelines (Langfuse, Ragas) for prompt regression tracking, HITL gating.
• Apply Responsible AI practices and guardrails for reliability and safety.
• Translate business requirements into technical designs; prototype with stakeholders using AI- accelerated workflows.
• Contribute to Azumo’s roadmap by identifying research topics and publishing insights.

Skills

Python

API design

CI/CD

Git

Docker

Containers

Async programming

LangGraph

LangChain

CrewAI

MCP

Vector databases

Pinecone

LanceDB

Azure AI Search

Claude Code

Cursor

GitHub Copilot

Azure

AWS

Communication

English (C1)

Education

Bachelor's Degree in CS/Data Science or related field

Master's degree aplus

Tools

LangGraph

LangChain

CrewAI

MCP

Pinecone

LanceDB

Azure AI Search

Job description

Azumo seeks an AI Agent Systems Architect to design and implement production-grade, multi-agent systems using LangGraph, LangChain and CrewAI. You will lead end-to-end development, from data prep and MCP integration to secure cloud deployment on Azure/AWS, while advancing MLOps pipelines and responsible AI safeguards.

Based in San Francisco, you will collaborate with data scientists and engineers, drive architectural decisions, and contribute to Azumo’s innovation roadmap by exploring research