AI Engineer
Tasks
- Build generative AI pipelines
- Design prompt engineering and orchestration workflows
- Develop multimodal processing pipelines
- Ensure model security compliance and explainability
- Implement RAG and long context inference
- Index and optimize vector search retrieval
- Ingest enrich and embed unstructured data
- Integrate AI services into business workflows
- Monitor models and ensure reproducibility
- Optimize scalability latency and observability
- Prototype, validate, and deploy machine learning models
Perks/Benefits
Skills/Tech-stack
AI Document Intelligence | Agentic AI | Autogen | Azure AI | Azure AI Document Intelligence | Azure Cognitive | Azure Cognitive Search | Azure OpenAI | CI/CD | Chunking | Cognitive Search | Document Intelligence | Embeddings | Explainable AI | GDPR | Langchain | Language Models | Large Language Models | Long Context | MLOps | Model Monitoring | Model Reproducibility | Multi-Modal | Multi-modal Models | OCR | Prompt engineering | Python | RAG | Retrieval tuning | Semantic Kernel | Vector Databases | Vector Search
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
Regions
Countries
States
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