AI Engineering Lead
Montevideo, URUGUAY, Uruguay
USD 136K-220K (estimate) Senior-level Full Time
Tasks
- Apply prompt engineering techniques
- Automate MLOps and LLMOps lifecycle
- Build scalable inference infrastructure
- Communicate AI system risks and tradeoffs
- Conduct structured experiments for AI systems
- Design APIs and microservices for AI services
- Design and build RAG systems
- Design and build agentic framework solutions
- Design evaluation frameworks
- Develop LLM powered production solutions
- Identify and categorize model failure modes
- Implement CI/CD pipelines for AI models
- Implement orchestration layers for latency cost reliability
- Lead end-to-end AI project delivery
- Mentor junior engineers
- Run feasibility assessments for AI approaches
Perks/Benefits
- English lessons
- Equipment provided
- Flexible working options
- Learning opportunities
- Meal benefits
- Mentoring and development
- Snacks and beverages
Skills/Tech-stack
APIs | AWS | Azure | CD pipelines | CI/CD | CI/CD pipelines | Chunking | Containerization | Deployment | Embeddings | Event Driven | Event-driven architecture | Few-Shot Prompting | Few-shot | GCP | Git | Infrastructure as Code | Instruction design | Kubernetes | LLM Evaluation | LLMOps | Language Models | Large Language Models | MLOps | MLflow | Machine Learning | Microservices | Model versioning | Monitoring | Precision at K | Prompt engineering | Python | Recall at K | Reranking | Retraining | Retrieval-Augmented Generation | Structured outputs | Tool Oriented Prompts | Vector Retrieval | Weights and Biases | “as-code”
Education
N/A
Roles
AI | AI Engineering | AI Engineering Lead | Engineer | Engineering Lead | Lead | Learning Engineer | Machine Learning Engineer
Regions
Countries
States
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