AI Engineer / Architect (Agentic RAG)
Tasks
- Architect and implement Agentic RAG solutions
- Conduct experiments benchmark and performance tuning
- Define and enforce AI system best practices security compliance and ethics
- Design AI pipelines for ingestion indexing retrieval and generation
- Develop reusable AI components for agent orchestration and dynamic workflows
- Evaluate and integrate vector databases embeddings and retrieval strategies
- Stay current with emerging trends in agentic AI and LLM orchestration
Perks/Benefits
Skills/Tech-stack
AWS | Agent Orchestration | Agent systems | Azure | C# | DataOps | Docker | Embedding Models | GCP | Hugging Face | Hybrid retrieval | Java | Knowledge graphs | Kubernetes | LLM orchestration | Langchain | MLOps | Multi-Agent | Multi-Agent Systems | PyTorch | Python | Semantic Kernel | Semantic Search | TensorFlow | Vector Databases
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Architect | AI Engineer | Architect | Engineer
Regions
Countries
States
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