Senior AI Platform Engineer
Monterrey, Nuevo León, Mexico
MXN 1040K-1300K (estimate) Senior-level Full Time
Tasks
- Apply prompt engineering model evaluation and guardrails
- Automate infrastructure with Infrastructure as Code
- Build CI CD pipelines for model lifecycle management
- Build and maintain AI platform capabilities
- Contribute to MLOps and AI Ops practices
- Create reusable AI services APIs and SDKs
- Design build deploy scalable AI solutions
- Develop AI agents for enterprise use cases
- Develop and optimize RAG pipelines
- Ensure security scalability compliance and cost efficiency
- Implement observability evaluation and monitoring
- Integrate and orchestrate LLM providers
- Mentor engineers and support technical growth
Perks/Benefits
- Access to wellbeing apps
- Career coaching
- Employee assistance programme
- Flexible working hours
- Hybrid work
- Internal tech communities
- Training
- Wellbeing programme
- Work-life balance
- Workshops and conferences
Skills/Tech-stack
APIs | Anthropic | Artificial Intelligence | Azure OpenAI | CI/CD | Compliance | Distributed Systems | Docker | Event Driven | Event-driven architecture | Infrastructure as Code | Kubernetes | Langchain | Langgraph | Language Models | Large Language Models | MLOps | Machine Learning | Microservices | Model Evaluation | Observability | OpenAI | Prompt engineering | Python | Retrieval-Augmented Generation | Security | Semantic Kernel | Vector Search | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Engineer | AI Platform Engineer | Engineer | Platform Engineer | Senior AI Engineer
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