AI Engineer (Application Design & Rapid Deployment)
Tasks
- Build stateful multi agent workflows
- Create LLM evaluation frameworks
- Design end-to-end AI applications
- Develop user interface and backend integration
- Maintain LLM as a judge pipelines
- Measure accuracy latency hallucinations regression
- Perform semantic logging and tracing
- Prototype AI MVPs rapidly
- Stress test internal AI development framework
Perks/Benefits
- 401k matching
- Commuter benefits
- Dental insurance
- Employee assistance program
- Health insurance
- Paid Holidays
- Paid time off
- Vision insurance
- Wellbeing coaching
Skills/Tech-stack
Dataset curation | Langgraph | Langsmith | MLOps | Milvus | Next.js | Node.js | Pinecone | Prompt engineering | Python | Qdrant | Ragas | React | Relational databases | Semantic Logging | Tracing | TruLens | Vector Databases
Education
N/A
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
Regions
Countries
States
Cities
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