AI Engineer – RAG and Agentic AI (m/f/d)
Tasks
- Analyze user feedback
- Curate and develop datasets
- Deploy LLM applications
- Design RAG pipelines
- Develop prompt engineering strategies
- Evaluate LLM applications
- Generate synthetic data
- Implement chunking strategies
- Implement rag pipelines
- Improve AI applications iteratively
- Integrate AI components into other systems
- Measure correctness latency hallucination
- Monitor RAG systems
- Parse ingest data
- Test and optimize RAG pipelines
- Write maintainable, testable code
Perks/Benefits
- N/A
Skills/Tech-stack
CI/CD | Data Generation | Data Ingestion | Data Parsing | Debugging | Language Models | Large Language Models | Machine Learning | Metrics | Monitoring | Observability | Prompt engineering | Python | Reproducibility | Retrieval-Augmented Generation | Similarity Search | Synthetic Data Generation | Synthetic data | Testing | Vector Databases | Vector similarity | Vector similarity search | Version control
Education
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
Regions
Countries
States
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