AI Engineer Manager
Guadalajara, Jal., Mexico
R
MXN 911K-1300K (estimate) Senior-level Full Time
Tasks
- Apply prompt engineering techniques
- Automate MLOps and LLMOps lifecycle
- Build CI/CD pipelines
- Build LLM-powered solutions
- Build scalable inference infrastructure
- Design AI evaluation frameworks
- Design APIs microservices and orchestration layers
- Design and build RAG systems
- Design and build agentic frameworks
- Identify model failures
- Lead AI project delivery end to end
- Mentor engineers and support solution design
- Run structured AI experiments
Perks/Benefits
- After office events and games
- All equipment provided
- Anniversary and birthday gifts
- English lessons
- Every day lunches
- Flexible working options
- Great location
- Learning opportunities
- Mentoring and development
- Snacks and beverages
- Study plans courses and certifications
Skills/Tech-stack
API Design | AWS | Azure | CI/CD | Containerization | Embeddings | Evaluation | Event Driven | Event-driven architecture | Few-Shot Learning | Few-shot | GCP | Git | Inference Optimization | Infrastructure as Code | LLMOps | Language Models | Large Language Models | MLOps | MLflow | Microservices | Prompt engineering | Python | Reranking | Retrieval-Augmented Generation | Structured Output | Weights and Biases | “as-code”
Education
N/A
Roles
AI | AI Engineer | AI Engineer Manager | Engineer Manager | Manager
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