Build the Next Generation of Enterprise AI Our client is building a high-growth AI and Digital Transformation practice focused on helping enterprise organizations harness the power of Generative AI, intelligent automation, and modern data platforms. Rather than building experimental AI models, this team develops production-ready AI applications that improve how businesses operate—leveraging technologies such as Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI Agents, cloud platforms, and enterprise integrations. This is an opportunity to work on cutting-edge AI initiatives for enterprise and middle-market clients while collaborating with experienced architects, consultants, and engineering leaders who are shaping the future of enterprise AI. What You'll Do As an AI Engineer, you'll design and build intelligent applications that solve real business problems using modern AI technologies. Responsibilities include: Design and develop enterprise AI applications using Large Language Models (LLMs) Build Retrieval-Augmented Generation (RAG)



solutions leveraging enterprise knowledge bases and document repositories Develop AI-powered assistants, copilots, and intelligent workflow applications Build AI Agents capable of automating business processes and interacting with enterprise systems Integrate AI capabilities with APIs, cloud services, and enterprise applications Develop scalable backend services using Python and modern application frameworks Partner with solution architects, consultants, and business stakeholders to translate requirements into production-ready AI solutions Participate in application architecture, testing, deployment, and continuous improvement Stay current on emerging AI technologies and recommend innovative approaches for client engagements Qualifications We're looking for engineers who combine strong software development fundamentals with hands-on experience building modern AI applications. Adecuado candidates will have experience wi

📌 AI Engineer (Ciudad de México)
🏢 10x Advisory
📍 Ciudad de México