GenAI Engineer
Tasks
- Apply responsible AI principles
- Build and deploy AI models
- Collaborate with data engineering security and business stakeholders
- Create embeddings and vector search workflows
- Design end-to-end AI/ML solutions
- Develop LLM agent orchestration
- Implement MLOps and LLMOps
- Implement rag pipelines
- Mentor junior team members
- Monitor model drift and performance
- Secure AI integrations with enterprise systems
- Set up CI CD for ML workloads
Perks/Benefits
- N/A
Skills/Tech-stack
AI Foundry | AI Search | Access Management | Agile | Automated testing | Azure AI | Azure AI Foundry | Azure AI Search | Azure DevOps | Azure Machine Learning | Azure OpenAI | CI/CD | Cognitive Services | Containerization | Drift Detection | Embeddings | Experiment tracking | Feature Engineering | Git | Hyperparameter Tuning | Identity & Access | Identity & Access Management | Kanban | LLMOps | Langchain | Langgraph | MLOps | Machine Learning | Model Evaluation | Model Monitoring | Model Registry | Model Training | Prompt engineering | RAG | Retrieval-Augmented Generation | Scrum | Secrets management | Semantic Kernel | Vector Database | Vector Search
Education
N/A
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