AI Agent Systems Architect - Remote

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. This is a fully remote position based in Latin Amerca. 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. please apply online at Azumo.com or connect with us at [email protected]

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.