Staff AI Engineer
Buenos Aires, Argentina
CAD 126K-170K (estimate) Senior-level Full Time
Tasks
- Apply MLOps best practices for deployment pipelines
- Build agentic AI solutions
- Collaborate on AI model selection tuning and validation
- Communicate AI solutions to stakeholders
- Create evaluation frameworks for agent autonomy performance safety
- Deploy AI solutions on cloud platforms
- Design develop and deploy AI workflows
- Ensure AI agent observability and monitoring
- Implement multi-agent systems
- Integrate Generative AI models with APIs and databases
- Integrate Model Context Protocol
- Optimize prompts and context for LLMs
Perks/Benefits
Skills/Tech-stack
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 | Cloud platform | Context engineering | CrewAI | DeepEval | Django | Docker | Embeddings | Express | Function Calling | Generative AI | GitHub Actions | Google Cloud | Google Cloud Platform | Java | Jenkins | Kubernetes | LLM integration | Langgraph | Langsmith | Language Models | Large Language Models | MLOps | Model Context Protocol | Monitoring | Multi-Agent | Multi-Agent Systems | NLP | Observability | OpenAI Agents | OpenAI Agents SDK | OpenAI Eval | Orchestration | Prompt engineering | Python | RAG | Ragas | Spring | TypeScript | Vector Databases
Education
N/A
Roles
Regions
Countries
States
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