GenAI Engineer
LATAM
R
USD 108K-189K (estimate) Mid-level Full Time Found 5d ago
Tasks
- Build, deploy, and manage AI systems
- Collaborate with cross-functional teams
- Contribute to reusable components and best practices
- Create agent-based architectures with LangChain, Semantic Kernel
- Design AI/ML solutions
- Develop solutions using Azure AI platforms
- Ensure AI security, governance, and responsible AI principles
- Implement MLOps and LLMOps practices
- Integrate AI with enterprise systems and APIs
- Mentor junior team members
- Optimize prompt engineering and RAG pipelines
- Train, evaluate, and deploy ML and GenAI models
Perks/Benefits
- Cross-functional collaboration
- Cutting-edge AI tech exposure
- Diverse workforce
- Innovative environment
- Professional growth
- Remote work
Skills/Tech-stack
AI Foundry | AI Search | AI infrastructure | Agent patterns | Agile | Azure AI | Azure AI Foundry | Azure AI Search | Azure DevOps | Azure Machine Learning | Azure OpenAI | CI/CD | Containerization | Cross-Functional Collaboration | Cross-functional | Embeddings | Functional collaboration | Git workflows | Governance | Hyperparameter Tuning | Langchain | Langgraph | MCP agent patterns | Machine Learning | Prompt engineering | RAG Pipelines | Responsible AI | Scalable AI | Scalable AI infrastructure | Security | Semantic Kernel | Vector Search
Education
Roles
Language: en |
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