We are looking for a passionate and skilled **AI Engineer specializing in Generative AI** to help design, build, and scale next\-generation AI systems powered by large language models (LLMs), diffusion models, and other generative architectures. You will work across the stack—from model fine\-tuning and prompt engineering to deployment and monitoring—helping to bring creative, intelligent systems into real\-world applications across text or multimodal domains. **Key Responsibilities** * Deploy large\-scale **Generative AI models** (e.g., LLMs, diffusion models) for applications such as text generation, code generation, or multimodal reasoning using Azure resources. * Collaborate with product teams and developers support teams to design generative solutions that meet business or product goals * Conduct **prompt engineering**, **prompt tuning**, and experimentation to improve model outputs * Manage the end\-to\-end ML lifecycle: data preprocessing, evaluation, deployment, and monitoring * Build internal tools or APIs to integrate generative models into production environments * Stay current with the latest papers, techniques, and tools in the rapidly evolving generative AI space **Required Knowledge \& Skills** **Generative AI \& Machine Learning** * Hands\-on experience with **agentic workflows**, or **tool\-using LLMs.** * Deep understanding of **transformer\-based architectures.** * Strong skills of **prompt engineering.** * Experience creating Agentic system. **Development \& Programming** * Proficient in **Python**, with experience using libraries like **Hugging Face Transformers**, **LangChain**, **OpenAI API**, or **LLM frameworks** * Experience working with Azure AI services * Experience with **vector databases** (e.g., Azure search services) for retrieval\-augmented generation (RAG) * Familiarity with serving frameworks: **FastAPI**, **Flask**, **Django** * Knowledge of **data transforming sanitization processing**, synthetic data generation, and fine\-tuning pipelines **ML Ops \& Infrastructure** * Proficiency in **cloud platforms** (AWS/GCP/Azure) and using services like **Azure AI search services** * Familiarity with **Docker**, **Kubernetes**, and model deployment best practices * Experience monitoring model performance and drift in production environments **Education \& Experience** * Bachelor's or Master's degree in Computer Science, AI, Machine Learning, or a related technical field * **3\+ years** of experience in ML/AI roles, with **hands\-on work in generative models or LLMs** **Soft Skills** * Creative problem\-solver with a builder's mindset. * Strong communication and collaboration skills, with the ability to explain complex AI concepts to non\-technical stakeholders. * Passion for innovation and keeping up with the fast\-moving GenAI ecosystem. * Sensitivity to ethical implications, data privacy, and bias in generative models. **Toshiba Global Commerce Solutions, offers a competitive salary and generous benefits package including the following:** * Hired directly by Toshiba and 100% under payroll. * Benefits of the law (IMSS, INFONAVIT). * Life insurance, major medical expenses with dental and visual coverage. (For the employee and direct family members). * Minor medical expenses insurance. * Savings fund for employees, capped at the limit of the law. * Grocery coupons. * Pension plan. * 30 Christmas bonus days. * 12 days of vacation plus 6 floating days. **EO:** Toshiba Global Commerce Solutions is an equal opportunity/affirmative action employer that evaluates qualified applicants without regard to age, ancestry, color, religious creed, disability, marital status, medical condition, genetic information, military or veteran status, national origin, race, sex, gender, gender identity, gender expression and sexual orientation or any other protected factor. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.