AI engineer
Tasks
- Build CI CD pipelines for AI deployment
- Build LLM pipelines
- Build agent-based systems
- Collaborate with development and DevOps teams to build AI enabled systems
- Deploy AI models with MLOps
- Design and develop machine learning models
- Diagnose API rate limit issues
- Diagnose and manage model cost issues
- Implement RAG systems
- Integrate vector databases
- Investigate retrieval quality issues
- Mitigate agent infinite loops
- Optimize latency across RAG and model calls
- Optimize scalability reliability and performance
- Resolve vector store indexing failures
- Troubleshoot AI incidents
Perks/Benefits
- N/A
Skills/Tech-stack
API rate-limiting | AWS | Agent Frameworks | CI/CD | Chroma | FastAPI | Gunicorn | Langchain | Language Models | Large Language Models | Llamaindex | MLOps | Observability | OpenTelemetry | Pinecone | Python | RAG | Rate Limiting | Vector Databases | Vector Store
Education
N/A
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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