AI Agent Systems Architect

This is a fully remote position, open to applicants in Argentina, +4 more states.

📋 Description

• Design, architect, and actively develop code for production-quality stateful multi-agent systems, bespoke state machines, and function-calling workflows utilizing LangGraph, CrewAI, or native Python execution loops.

• Oversee the entire development lifecycle, encompassing data preparation, integration of MCP tools, enforcement of structured output, context-window recovery/caching, containerization, and secure cloud deployment.

• Develop MLOps/LLMOps evaluation pipelines using tools such as Langfuse and Ragas for tracking prompt regression, mitigating hallucinations, and implementing human-in-the-loop gating processes.

• Employ Responsible AI principles and safeguards to maintain system reliability and safety.

• Convert business and mission requirements into technical designs, prototyping and iterating with stakeholders through AI-accelerated workflows.

• Identify research initiatives, publish findings, and enhance Azumo’s AI software development services portfolio.

• Work collaboratively with engineers, data scientists, and domain experts within SaaS, cloud, and big data ecosystems.

⛳️ Requirements

• Bachelor’s Degree in Computer Science, Data Science, or a related field.

• A minimum of 3 years of experience in developing and deploying ML, NLP, or Generative AI systems within production environments.

• Proficient in Python and software engineering principles, including data structures, asynchronous programming, API design, testing, CI/CD, Git, and containerization.

• Practical experience with LangGraph, LangChain, CrewAI, MCP, and vector databases such as Pinecone, LanceDB, and Azure AI Search.

• Familiarity with AI-assisted coding tools like Claude Code, Cursor, and GitHub Copilot.

• Experience with cloud deployment, preferably on Azure or, alternatively, AWS, utilizing Docker and serverless or microservice architectures.

• Strong written and verbal communication skills for articulating complex architectural concepts and trade-offs.

• Proficient in professional English (C1 level).

• Preferred: Experience with Human-in-the-Loop workflows, automated evaluation suites, deterministic fallback logic for LLMs, research publications, contributions to open-source AI libraries, or participation in the AI engineering community.

🏝️ Benefits

• Paid time off (PTO).

• U.S. Holidays.

• Training opportunities.

• Career development with mentorship.

• Profit Sharing.

• Remuneration in U.S. dollars.