Senior AI Engineer
Montevideo, URUGUAY, Uruguay
USD 141K-211K (estimate) Senior-level Full Time
Tasks
- Apply prompt engineering techniques
- Automate MLOps LLMOps lifecycle
- Build agentic frameworks
- Build scalable inference infrastructure
- Design AI evaluation frameworks
- Design APIs and microservices
- Design and build RAG systems
- Develop LLM powered solutions for production
- Identify and categorize model failures
- Implement CI CD pipelines for AI and ML
- Lead AI project delivery end to end
- Mentor junior engineers
- Orchestrate services for latency cost reliability and scalability
- Perform feasibility assessments
- Run structured experiments for AI systems
Perks/Benefits
- Anniversary and birthday gifts
- English lessons
- Equipment provided
- Every day lunches
- Flexible working options
- Learning opportunities
- Mentoring and development
- Snacks and beverages
- Team events and sports leagues
Skills/Tech-stack
API Design | AWS | Azure | Containerization | Docker | Embeddings | Evaluation | Event Driven | Event-driven architecture | Few-Shot Learning | Few-shot | GCP | Git | Inference Optimization | Infrastructure as Code | Instruction design | Kubernetes | LLM-as-a-Judge | 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
Regions
Countries
States
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