Applied AI Engineer
Tampa, Florida, United States
A USD 165K-300K (estimate) Senior-level Full Time
Tasks
- Build embeddings and contextual retrieval methods
- Build low-latency inference pipelines
- Continuously refine personalization and authenticity
- Define mind quality success metrics
- Design knowledge graph architecture
- Develop hierarchical knowledge graph models
- Develop retrieval-augmented generation systems
- Implement LLM evaluation frameworks
- Implement dynamic context shaping
- Integrate graph reasoning with neural retrieval
- Perform prompt engineering for LLMs
- Ship AI features to product engineering
Perks/Benefits
Skills/Tech-stack
AWS | ArangoDB | Asynchronous programming | Context engineering | Distributed Systems | Embeddings | Fine Tuning | Graph Databases | Knowledge graphs | LLM Evaluation | Language Models | Large Language Models | Neo4j | Prompt engineering | Python | Retrieval-Augmented Generation
Education
N/A
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