Applied AI Engineer
Charlotte, North Carolina, United States
A USD 150K-300K (estimate) Senior-level Full Time
Tasks
- Architect low-latency inference pipelines
- Bridge ML systems and product engineering
- Build ML powered production systems
- Build hierarchical knowledge graphs
- Continuously refine personalization and authenticity
- Define mind quality success metrics
- Design knowledge graph architecture
- Develop embeddings and contextual retrieval
- Implement LLM evaluation frameworks
- Implement retrieval-augmented generation
- Optimize prompt engineering and context shaping
Perks/Benefits
- 401k
- Dental insurance
- Health insurance
- Relocation assistance
- Unlimited learning stipend
- Visa sponsorship
- Vision insurance
Skills/Tech-stack
AWS | ArangoDB | Asynchronous programming | Context engineering | Distributed Systems | Embeddings | Fine Tuning | Graph Databases | LLM Evaluation | Language Models | Large Language Models | Low Latency | Low-Latency Systems | Neo4j | Prompt engineering | Python | Retrieval-Augmented Generation
Education
N/A
Regions
Countries
States
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