AI Engineer
Ciudad Autónoma de Buenos Aires, Argentina
INR 3000K-4000K (estimate) Mid-level Full Time
Tasks
- Apply MLOps best practices
- Build multi-agent systems
- Communicate AI concepts to stakeholders
- Deploy AI agent solutions
- Engineer prompts and context for LLMs
- Implement evaluation frameworks for AI safety and performance
- Integrate generative AI models with external APIs
- Optimize model selection and tuning
- Orchestrate AI workflows with agents
- Set up monitoring and observability for AI operations
Perks/Benefits
- Cultural activities
- Discounts on products and services
- English classes
- Flexible working hours
- Hybrid work model
- Internal training
- Learning platforms access
- Private health insurance
- Vacation days
- Work tools
Skills/Tech-stack
AI Services | AWS Bedrock | AWS CodeDeploy | Agent Orchestration | Agent systems | Azure AI | Azure AI Services | Azure Pipelines | CI/CD | Chunking | Cloud deployment | Context engineering | Django | Embeddings | Express | Function Calling | Generative AI | GitHub Actions | Java | Jenkins | LLM integration | Language Models | Large Language Models | MLOps | Model Context Protocol | Monitoring | Multi-Agent | Multi-Agent Systems | NLP | Observability | Prompt engineering | Python | RAG evaluation | Spring | TypeScript | Vector Databases
Education
N/A
Roles
AI | AI Engineer | Engineer
Regions
Countries
States
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