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 Integral 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.

📌 Ai Engineer (Guadalajara)
🏢 External
📍 Guadalajara