AI Engineer
Tasks
- Build LLM pipelines
- Collaborate with developers and DevOps teams
- Deploy AI models using MLOps
- Design and develop machine learning models
- Diagnose and control AI cost issues
- Implement RAG systems
- Integrate vector database
- Investigate vector store indexing failures
- Manage API rate limit issues
- Monitor model performance in production
- Optimize latency for RAG and model calls
- Prevent agent infinite loops
- Resolve retrieval quality issues
- Set up CI/CD pipelines
- Troubleshoot AI incidents
Perks/Benefits
- N/A
Skills/Tech-stack
API rate-limiting | AWS | Agent systems | CI/CD | Chroma | Docker | FastAPI | Gunicorn | Langchain | Language Models | Large Language Models | Llamaindex | MLOps | Observability | OpenTelemetry | Pinecone | Python | RAG | Rate Limiting | Vector Databases
Education
N/A
Roles
AI | AI Engineer | Engineer | Learning Engineer | MLOps Engineer | Machine Learning Engineer
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