AI Engineering Manager
Bogotá, Bogota, Colombia
COP 49838K-60000K (estimate) Mid-level Full Time
Tasks
- Apply prompt engineering techniques
- Automate MLOps and LLMOps lifecycle
- Build and mentor AI engineering team
- Build inference infrastructure for AI models
- Conduct technical reviews and architectural assessments
- Create CI CD pipelines for AI ML models
- Define technical feasibility for proposals
- Design APIs and microservices
- Design LLM evaluation frameworks
- Design RAG systems for production
- Develop agentic LLM solutions
- Identify and categorize model failures
- Lead AI project delivery end to end
- Lead structured experiments for AI performance
- Orchestrate AI services for latency cost reliability
- Run feasibility assessments for AI approaches
- Set production quality standards
Perks/Benefits
- Christmas kit
- Educational loan subsidy
- Family day off
- Medical assistance
- Private healthcare
- Savings incentive program
- Time off for graduation
Skills/Tech-stack
API | AWS | Azure | CI/CD | Cloud platform | Containerization | Cost Optimization | Embeddings | Event Driven | Event-driven architecture | Few-Shot Learning | Few-shot | Git | Google Cloud | Google Cloud Platform | Kubernetes | LLM-as-a-Judge | LLMOps | Latency optimization | MLOps | MLflow | Metric Creation | Microservices | Model Monitoring | Model versioning | Orchestration layers | Prompt engineering | Python | RAG | Reranking | Retrieval | Structured outputs | Weights and Biases
Education
N/A
Roles
AI | AI Engineering | AI Engineering Manager | Engineering Manager | Manager
Regions
Countries
States
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