AI Engineer

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 in prompt engineering. Experience creating agentic systems. Development & Programming Proficient in Python, with experience using libraries like Hugging Face Transformers, LangChain, OpenAI API, or other 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 transformation, 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. Benefits Toshiba Global Commerce Solutions offers a competitive salary and generous benefits package including: 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. Equal Opportunity 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. #J-18808-Ljbffr