AI Engineer – RAG and Agentic AI (m/f/d)
Tasks
- Debug RAG pipelines
- Deploy LLM applications
- Design RAG pipelines
- Develop prompt engineering strategies
- Evaluate LLM metrics correctness
- Evaluate LLM metrics latency
- Evaluate hallucinations
- Generate synthetic training data
- Implement RAG data parsing
- Implement chunking strategies
- Ingest document data
- Integrate AI components into systems
- Iteratively improve using user feedback
- Monitor LLM systems
- Write maintainable, testable code
Perks/Benefits
- N/A
Skills/Tech-stack
CI/CD | Chunking | Data Generation | Data Ingestion | Data Parsing | Debugging | LLM Evaluation | Language Models | Large Language Models | Machine Learning | Model Monitoring | Prompt engineering | Retrieval-Augmented Generation | Software Engineering | Synthetic Data Generation | Synthetic data | Testing | Version control
Education
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
Regions
Countries
States
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