AI Engineer – Generative AI & RAG
Tasks
- Build vector database solutions
- Configure azure ai services
- Define generative AI strategy
- Deploy and monitor llm in production
- Design and develop LLM systems
- Design and integrate RESTful APIs
- Develop RAG pipelines
- Develop scalable backend services
- Ensure model observability and evaluation
- Implement indexing and retrieval strategies
- Manage api validation versioning and error handling
- Optimize retrieval and generation
- Use embedding techniques for retrieval
Perks/Benefits
Skills/Tech-stack
AI Search | AI Services | Agile | Azure AI | Azure AI Search | Azure AI Services | Azure OpenAI | Cognitive Services | Docker | Embeddings | FastAPI | Git | JAX | Langchain | Language Models | Large Language Models | Learning operations | Llamaindex | Machine Learning | Machine Learning Operations | OpenAPI | Prompt engineering | PyTorch | Python | REST APIs | Retrieval-Augmented Generation | Semantic Kernel | Swagger | TensorFlow | Vector Databases
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
Regions
Countries
States
Cities
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