Applied AI Engineer
San Antonio, Texas, United States
A USD 160K-250K (estimate) Senior-level Full Time
Tasks
- Architect low-latency inference pipelines
- Build LLM evaluation frameworks
- Build hierarchical knowledge graphs
- Continuously refine digital mind authenticity
- Define mind quality success metrics
- Design knowledge graph architecture
- Develop efficient model inference for concurrent users
- Develop embeddings and contextual retrieval
- Implement retrieval augmented generation systems
- Integrate AI features into product systems
- Integrate structured graph reasoning with neural retrieval
- Iterate using evaluation metrics
- Measure tone style transfer and reasoning fidelity
- Perform prompt engineering for frontier LLMs
- Shape dynamic context
- Translate research ideas into production systems
Perks/Benefits
- 401k matching
- Dental insurance
- Health insurance
- Learning opportunities
- Relocation assistance
- Unlimited learning stipend
- Vision insurance
Skills/Tech-stack
AWS | Artificial Intelligence | Asynchronous programming | Context engineering | Distributed Systems | Embeddings | Graph Databases | Knowledge graphs | Language Models | Large Language Models | Low Latency | Low-Latency Systems | Machine Learning | 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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