Senior AI Engineer
Buenos Aires, Argentina
CAD 120K-170K (estimate) Senior-level Full Time
Tasks
- Apply observability monitoring and MLOps best practices
- Communicate AI concepts decisions and systems to technical and non technical stakeholders
- Coordinate AI model selection tuning and performance validation
- Deploy AI solutions with reliable deployment pipelines and continuous optimization
- Design develop and deploy AI workflows and agentic AI solutions
- Implement and optimize multi agent systems
- Implement evaluation frameworks metrics and safety checkpoints
- Integrate generative AI models with APIs tools and databases
Perks/Benefits
Skills/Tech-stack
AI Safety | AI Services | API Integration | AWS | AWS Bedrock | AWS CodeDeploy | Agent systems | Agentic AI | Agents SDK | Azure | Azure AI | Azure AI Services | Azure Pipelines | Braintrust | CI/CD | Chunking | Cloud Computing | Cloud platform | Containerization | CrewAI | Data Embeddings | DeepEval | Evaluation Frameworks | Function Calling | Generative AI | GitHub Actions | Google Cloud | Google Cloud Platform | Jenkins | Kubernetes | LLM integration | Langgraph | Langsmith | Language Models | Language Processing | Large Language Models | MLOps | Model Context Protocol | Monitoring | Multi-Agent | Multi-Agent Systems | Natural Language | Natural Language Processing | Observability | OpenAI Agents | OpenAI Agents SDK | OpenAI Eval | Performance optimization | Prompt engineering | RAG | Ragas | Retrieval-Augmented Generation | Vector Databases
Education
N/A
Roles
Regions
Countries
States
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