Applied AI Engineer
Fort Worth, Texas, United States
A USD 165K-300K (estimate) Senior-level Full Time
Tasks
- Build Retrieval Augmented Generation systems
- Build low-latency inference pipelines
- Continuously refine personalization quality
- Define mind quality success metrics
- Design knowledge graph architecture
- Develop contextual retrieval methods
- Implement LLM evaluation frameworks
- Implement dynamic context shaping
- Integrate ML systems with product features
- Perform advanced prompt engineering
Perks/Benefits
Skills/Tech-stack
AWS | Asynchronous programming | Context engineering | Distributed Systems | Embeddings | Fine Tuning | Graph Databases | Inference Pipelines | Language Models | Large Language Models | Low Latency | Low-Latency Systems | Model Evaluation | Prompt engineering | Python | Retrieval-Augmented Generation
Education
N/A
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