AI Engineer (Remote in México)
Tasks
- Apply responsible AI principles
- Build data ingestion and transformation pipelines
- Build enterprise copilots and virtual assistants
- Deploy AI solutions using Azure managed services
- Design Generative AI applications
- Develop semantic search and RAG solutions
- Ensure compliance with enterprise and regulatory standards
- Implement AI agent orchestration and automation
- Implement LLMOps and MLOps practices
- Implement knowledge indexing and vectorization
- Implement security controls and data protection
- Integrate AI services with enterprise applications and APIs
- Manage prompt model and AI component versioning
- Monitor model performance accuracy and cost
- Participate in architecture and technical quality reviews
Perks/Benefits
- N/A
Skills/Tech-stack
.NET | AI Agents | AI Governance | AI Search | Azure | Azure AI | Azure AI Search | Azure DevOps | Azure OpenAI | Azure OpenAI Service | Bicep | C Sharp | CI/CD | CrewAI | DevOps | DevSecOps | Embeddings | Generative AI | GitHub Actions | Infrastructure as Code | Intelligent Automation | LLMOps | Langchain | Langgraph | Language Models | Large Language Models | MLOps | Machine Learning | Monitoring | NoSQL | Observability | OpenAI Service | Python | RAG | REST APIs | Responsible AI | Retrieval-Augmented Generation | SQL | Security | Semantic Kernel | Terraform | Vector Search | “as-code”
Education
N/A
Roles
AI | AI Engineer | Engineer
Regions
Countries
States
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