Applied AI Engineer
San Jose, California, United States
A USD 165K-300K (estimate) Senior-level Full Time
Tasks
- Architect low-latency inference pipelines
- Build Retrieval Augmented Generation systems
- Continuously improve personalization and authenticity
- Define mind quality success metrics
- Design knowledge graph architecture
- Develop hierarchical embeddings and retrieval methods
- Implement LLM evaluation frameworks
- Integrate AI systems with product engineering
- Optimize prompt engineering and context shaping
Perks/Benefits
- 401k
- Health, dental, vision coverage
- Relocation assistance
- Unlimited learning stipend
- Visa sponsorship
Skills/Tech-stack
AWS | ArangoDB | Asynchronous programming | Context engineering | Distributed Systems | Document Understanding | Embeddings | Fine Tuning | Graph Databases | Knowledge graphs | Language Models | Large Language Models | Low Latency | Low-Latency Systems | Machine Learning | Multimodal Processing | Neo4j | Prompt engineering | Python | Retrieval-Augmented Generation
Education
N/A
Roles
AI | AI Engineer | Applied AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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