AI Engineer
Tasks
- Build GenAI pipelines
- Collaborate with product managers and UX designers
- Develop multimodal model integration
- Document explainable model behavior
- Ensure security and compliance
- Implement OCR chunking embeddings indexing
- Improve observability and latency
- Ingest enrich embed unstructured data
- Integrate GenAI services into business workflows
- Monitor models in production
- Optimize RAG and retrieval tuning
- Orchestrate long context LLM workflows
- Prototype validate deploy AI solutions
Perks/Benefits
Skills/Tech-stack
AI Document Intelligence | Artificial Intelligence | Autogen | Azure AI | Azure AI Document Intelligence | Azure Cognitive | Azure Cognitive Search | Azure OpenAI | CI/CD | Chunking | Cognitive Search | Document Intelligence | Embeddings | GDPR | Langchain | Language Models | Large Language Models | Long Context | Long context inference | MLOps | Machine Learning | Model Monitoring | Model versioning | Multimodal Models | OCR | Observability | Prompt engineering | Python | Retrieval-Augmented Generation | Semantic Kernel | Vector Databases | Vector Search | Vector indexing
Education
N/A
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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