AI Agent Systems Architect - Remote

Azumo LLC.; Argentina; Híbrido; ARS 179.773.000 - 269.659.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

PTO

U.S. Holidays

Training

Mentored career development

Profit Sharing

$US Remuneration

Descripción de la vacante

Azumo LLC. is hiring an AI Agent Systems Architect to design and implement production-grade, stateful multi-agent systems and function-calling workflows. You will lead end-to-end development, from data preparation to secure cloud deployment across Azure/AWS, while applying ML and AI safety guardrails.

The role emphasizes translating business goals into scalable technical designs and collaborating with engineers, data scientists, and domain experts to advance Generative AI solutions.

Formación

• Bachelor’s degree in CS, Data Science, or related field (Master’s a plus).
• 3+ years of experience deploying ML/NLP/Generative AI systems in production.
• Expert Python and software engineering fundamentals (data structures, async, API design, testing, CI/CD, Git, containers).
• Hands-on with stateful AI agent frameworks and tooling: LangGraph, LangChain, CrewAI, MCP, vector DBs.
• Experience using modern AI-assisted coding tools (Claude Code, Cursor, GitHub Copilot).
• Proven cloud deployment experience (Azure preferred; AWS acceptable) using Docker/microservices.
• Strong written and verbal communication to explain architecture and trade-offs.
• Professional English proficiency (C1).

Responsabilidades

• Architect, design, and code production-grade multi-agent systems and function-calling workflows using LangGraph, CrewAI, or Python loops.
• Lead full-cycle development: data prep, MCP-based tool integration, and secure cloud deployment (Azure/AWS).
• Implement MLOps/LLMOps pipelines for prompt regression tracking and HITL gating.
• Apply Responsible AI practices and guardrails for reliability and safety.
• Translate business needs into technical designs; iterate with stakeholders on AI workflows.
• Contribute to Azumo’s roadmap by researching topics, publishing insights, and expanding services portfolio.

Conocimientos

Python

ML

NLP

Generative AI

API design

CI/CD

Git

Containers

LangGraph

LangChain

CrewAI

MCP

Pinecone

LanceDB

Azure AI Search

Docker

Cloud deployment

English (C1)

Educación

Bachelor’s Degree in Computer Science

Master’s degree preferred

Herramientas

LangGraph

LangChain

CrewAI

MCP

Pinecone

LanceDB

Azure AI Search

Claude Code

Cursor

GitHub Copilot

Azure/AWS cloud

Descripción del empleo

AI Agent Systems Architect

Azumo, a leading AI Development company, is seeking a highly motivated AI Agent Systems Architect to join our growing team of expert AI developers. We specialize in delivering Top AI Development services, helping organizations build intelligent applications powered by Generative AI, large language models (LLMs), and advanced automation. As part of our team, you will collaborate with engineers, data scientists, and domain experts across SaaS, cloud, and big data environments. You will work on cutting-edge agentic architectures, translating research into production-ready solutions that drive real-world impact for global clients. At Azumo, you’ll thrive if you enjoy the full lifecycle of Generative AI development—from ideation and prototyping to deployment, monitoring, and scaling intelligent applications.

Responsibilities in AI Development

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

Based in San Francisco, California, Azumo is an innovative software development firm specializing in AI software development services. We help companies of all sizes build intelligent applications by combining expertise in data, cloud, and AI. Our talented AI developers are trusted to deliver Top AI Development services in Generative AI, intelligent automation, and custom machine learning solutions. At Azumo, we believe in professional and personal growth. As a recognized AI Development company, we support our engineers in mastering the latest technologies and delivering Top AI Development services worldwide. Our culture emphasizes collaboration, continuous learning, and solving complex problems with modern AI solutions. We believe in giving back to our community and will volunteer our time to philanthropy, open-source initiatives and sharing our knowledge.

Basic Qualifications:

• 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.

• Paid time off (PTO)
• U.S. Holidays
• Training
• Mentored career development
• Profit Sharing
• $US Remuneration