Lead GenAI Engineer

Our People, Our Core. At MOOVX, you’ll work alongside curious, talented and collaborative people solving real challenges through technology. Location: Remote / Hybrid (ARG, CHI, CL, UY, MX) Job Type: Full-Time Experience: 5+ years in AI/ML Engineering, Software Engineering, Solution Architecture, or related technical disciplines (1.5+ years in GenAI/LLM). POSITION SUMMARY We are seeking a Lead GenAI Engineer to lead the design, development, and deployment of enterprise-grade AI solutions powered by Large Language Models (LLMs), agentic workflows, and Retrieval-Augmented Generation (RAG) architectures. This role will be responsible for driving the technical vision for scalable GenAI platforms, building intelligent automation solutions, and enabling production-ready AI capabilities across the organization. The ideal candidate has deep expertise in Python development, modern LLM ecosystems, cloud-native architecture, and agent frameworks such as LangGraph, Copilot Studio, or NAAN. This is a highly visible role requiring both hands-on technical leadership and strategic guidance to help the organization leverage Generative AI responsibly, securely, and effectively. KEY RESPONSIBILITIES AI SOLUTION ARCHITECTURE - Design and implement scalable, secure, and reliable Generative AI architectures for enterprise production environments. - Define technical standards, reference architectures, and best practices for GenAI platforms and applications. - Ensure AI solutions meet requirements for performance, observability, scalability, compliance, and governance. LLM & AGENTIC APPLICATION DEVELOPMENT - Build and deploy Python-based GenAI services, APIs, and intelligent automation solutions. - Design and implement agentic workflows using frameworks such as LangGraph, Microsoft Copilot Studio, and NAAN. - Develop orchestration logic supporting multi-agent and multi-step reasoning workflows. - Create reusable AI components and frameworks that accelerate