Gen AI Engineer
Tasks
- Build data pipelines for AI
- Collaborate with data scientists and product teams
- Design and deploy RAG pipelines
- Develop and orchestrate AI agents
- Fine tune and optimize small language models
- Implement end-to-end Generative AI solutions
- Integrate llms and slms into applications
- Lead genai architecture and governance discussions
- Monitor and optimize deployed solutions
Perks/Benefits
- N/A
Skills/Tech-stack
AI Agents | AI Foundry | AI Search | Azure AI | Azure AI Foundry | Azure AI Search | Azure Cognitive | Azure Cognitive Services | Azure Container | Azure Container Apps | Azure Databricks | Azure Document Intelligence | Azure Kubernetes | Azure Kubernetes Service | Azure Machine Learning | Azure OpenAI | Azure OpenAI Service | Bias detection | CI/CD | Cognitive Services | Computer Vision | Container Apps | Data Privacy | Deep learning | Document Intelligence | Embeddings | Kubernetes Service | Langchain | Language Models | Language Processing | Large Language Models | MLOps | Machine Learning | Model Context Protocol | Natural Language | Natural Language Processing | OpenAI Service | Prompt engineering | Python | RAG | Retrieval-Augmented Generation | Security Compliance | Semantic Kernel | Small Language Models | Vector Databases
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Engineer | Engineer
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