We are seeking AI Engineers to build, deploy, maintain, and optimize production-grade Generative AI, Agentic AI, and Multi-Agent systems. This is a hands-on engineering and production support role focused on the complete AI lifecycle, including development, integration, testing, deployment, monitoring, incident resolution, and continuous evaluation.

Key Responsibilities

Design, develop, and maintain multi-agent AI systems using Gemini, Google ADK, and Vertex AI.

Build agent orchestration, API integrations, RAG pipelines, and vector database solutions.

Develop and maintain data pipelines, BigQuery migrations, ETL/ELT workflows, and data validation processes.

Monitor production AI systems, troubleshoot failures, perform root cause analysis (RCA), and optimize performance.

Implement AI observability, telemetry, logging, and monitoring using Cloud Monitoring, OpenTelemetry, or equivalent tools.

Establish continuous evaluation, automated testing, golden datasets, hallucination detection,



and output quality monitoring.

Ensure high availability, fault tolerance, security, access controls, and data privacy.

Manage CI/CD pipelines, production deployments, rollback strategies, and ongoing system improvements.

Technical Requirements

AI & Agentic AI: Gemini, Google ADK, Vertex AI, LangChain, LlamaIndex.

Programming: Python, REST/gRPC APIs, Docker, Git, automated testing, CI/CD.

RAG & Vector Databases: Vertex AI Vector Search, Pinecone, Chroma, or equivalent.

Experience Expectations

Senior: Lead multi-agent architecture, complex production incident resolution, RCA, high-availability design, and AI evaluation frameworks.

Intermediate: Develop, maintain, test, monitor, and troubleshoot AI applications, data pipelines, and production workflows.

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📌 AI Engineer (Ciudad de México)
🏢 XChange Software
📍 Ciudad de México