Senior AI Platform Engineer
Monterrey, Nuevo León, Mexico
MXN 1040K-1300K (estimate) Senior-level Full Time
Tasks
- Apply security scalability resilience and compliance
- Build AI platform capabilities
- Create AI services APIs and SDKs
- Deploy AI workloads
- Design scalable AI solutions
- Develop AI agents
- Develop RAG pipelines
- Implement model evaluation and testing
- Implement observability and monitoring
- Integrate LLM providers
- Mentor engineers
- Orchestrate CI CD pipelines for model lifecycle
- Practice prompt engineering and guardrails
Perks/Benefits
- Career coaching
- Coaching
- Employee assistance programme
- Flexible working hours
- Hybrid work
- Training
- Workplace wellbeing programme
Skills/Tech-stack
AI Agents | APIs | AWS | Azure | CI/CD | Distributed Systems | Docker | Embedding pipelines | Evaluation | Event Driven | Event-driven architecture | GCP | Infrastructure as Code | Kubernetes | Langchain | Langgraph | Language Models | Large Language Models | MLOps | Microservices | Observability | Prompt engineering | Python | Retrieval-Augmented Generation | Semantic Kernel | Testing | Vector Databases | Vector Search | Version control | “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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