Applied AI Scientist
Tasks
- Build RAG knowledge pipelines
- Collaborate with stakeholders on requirements
- Create evaluation frameworks
- Deploy AI agents in production
- Design enterprise AI agents
- Ground agents in proprietary knowledge
- Implement agent orchestration and planning
- Iterate agent behavior using usage data
- Manage agent memory and tool use
- Measure accuracy hallucination rate latency
- Translate business needs into technical features
Perks/Benefits
Skills/Tech-stack
AI Operations | AWS | Cloud deployment | Conversational Chatbots | Human-in-the-loop | Hybrid search | LLMOps | Language Models | Large Language Models | Prompt engineering | Python | RAG Pipelines | Reranking | Retrieval-Augmented Generation | SQL | The Loop | Vector Databases
Education
Roles
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