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# AI Agent Systems Architect - Remote

- **Company:** Azumo, LLC
- **Location:** United States (Remote available)
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing Security, Computer Programming, Continuous Integration, Data Cleansing, Data Structures, Cursor (Graphical User Interface Elements), Python (Programming Language), Open Source Technology, Search Technologies, Software Engineering, GitHub Copilot, Large Language Models, Caching, Reliability of Systems, Git, Containerization, Machine Learning Operations, Virtual Agents, Api Design, Serverless Computing, Docker, Microservices
- **Published:** August 4, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=52d1b036a2b4a388

## About the Role

* Bachelor's Degree in Computer Science, Data Science, or related field (Master's is a plus).
 * 3+ years of experience developing and deploying ML, NLP, or Generative AI systems in production environments.
 * Expert-level skills in Python and software engineering fundamentals (data structures, async programming, API design, testing, CI/CD, Git, containers).
 * Hands-on experience with stateful AI agent frameworks and tooling: LangGraph, LangChain, CrewAI, MCP, and vector databases (Pinecone, LanceDB, Azure AI Search).
 * Active experience utilizing modern AI-assisted coding tools (e.g., Claude Code, Cursor, GitHub Copilot) to accelerate development and codebase analysis.
 * Proven cloud deployment experience (Azure preferred; AWS acceptable) using Docker and serverless/microservice architectures.
 * Strong written and verbal communication skills to explain complex architectural concepts and trade-offs to diverse audiences.
 * Professional English proficiency (C1).

Preferred Qualifications:

 * Experience building Human-in-the-Loop (HITL) workflows, automated evaluation suites, and deterministic fallback logic for LLMs.
 * Contributions to research papers, open-source AI libraries, or active participation in the AI engineering community.

## Description

Architect, design, and actively write code for production-grade stateful multi-agent systems, custom state machines, and function-calling workflows using frameworks such as LangGraph, CrewAI, or native Python execution loops.

Lead full-cycle hands-on development: data preparation, tool integration via Model Context Protocol (MCP), structured output enforcement, context-window recovery/caching, containerization, and secure cloud deployment (Azure/AWS).

Implement MLOps/LLMOps evaluation pipelines (e.g., Langfuse, Ragas) for automated prompt regression tracking, hallucination mitigation, and human-in-the-loop (HITL) gating.

Apply Responsible AI practices and guardrails throughout solution delivery to ensure system reliability and safety.

Translate business and mission requirements into technical designs; prototype and iterate quickly with stakeholders using AI-accelerated workflows.

Contribute to Azumo's innovation roadmap by identifying research topics, publishing insights, and advancing our AI software development services portfolio.
About Azumo


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