Applied AI Engineer
New York, New York, United States
A USD 180K-300K (estimate) Senior-level Full Time
Tasks
- Architect scalable AI infrastructure
- Build LLM evaluation frameworks
- Build hierarchical knowledge graphs
- Build low-latency inference pipelines
- Continuously improve personalization and expressiveness
- Define quality success metrics
- Design knowledge graph architecture
- Develop embeddings and contextual retrieval methods
- Implement dynamic context shaping
- Implement retrieval augmented generation systems
- Integrate AI features into product systems
- Optimize prompt engineering
Perks/Benefits
- 401k
- Dental insurance
- Health insurance
- Learning stipend
- Onsite work
- Relocation assistance
- Vision insurance
Skills/Tech-stack
AWS | Asynchronous programming | Context engineering | Distributed Systems | Embeddings | Event loop | Fine Tuning | Graph Databases | Graph retrieval | Inference Optimization | LLM Evaluation | Language Models | Large Language Models | Low Latency | Low-Latency Systems | Multimodal | Prompt engineering | Python | Retrieval-Augmented Generation
Education
N/A
Roles
AI | AI Engineer | Applied AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
Regions
Countries
States
Cities
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