Remote AI Agent Architect - Build Production-Ready Agents

Azumo; Colombia; Presencial; COP 372.694.000 - 559.041.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

PTO

US Holidays

Training

Mentored career development

Profit Sharing

US Remuneration

Descripción de la vacante

Azumo, a leading AI development company, is seeking an AI Agent Systems Architect to design and implement production-grade multi-agent systems. You will lead end-to-end development, from data prep and tool integration to secure cloud deployment and evaluation pipelines.

The role emphasizes responsible AI practices, rapid prototyping with stakeholders, and contributing to Azumo's innovation roadmap. Experience with LangGraph, LangChain, MCP, and cloud platforms is essential for success.

Formación

• 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)

Responsabilidades

• 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.

Conocimientos

Python

ML/NLP in production

API design

CI/CD

Git

Async programming

Cloud deployment

Educación

Bachelor’s Degree in CS/Data Science

Herramientas

LangGraph

LangChain

CrewAI

MCP

Pinecone

LanceDB

Azure AI Search

Claude Code

Cursor

GitHub Copilot

Descripción del empleo

Azumo, a leading AI development company, is seeking an AI Agent Systems Architect to design and implement production-grade multi-agent systems. You will lead end-to-end development, from data prep and tool integration to secure cloud deployment and evaluation pipelines.

The role emphasizes responsible AI practices, rapid prototyping with stakeholders, and contributing to Azumo's innovation roadmap. Experience with LangGraph, LangChain, MCP, and cloud platforms is essential for success.