Senior AI Engineer
Tasks
- Build evaluation datasets and benchmarks
- Build prompt pipelines
- Build retrieval based pipelines
- Design AI reliability safety and governance
- Design AI-powered features
- Design agentic workflows with tool use
- Develop RAG workflows
- Implement automated evaluation pipelines
- Implement monitoring and observability for AI systems
- Implement planning execution and reflection loops
- Manage context memory and state
- Mitigate hallucinations prompt injection and model misuse
- OWN end-to-end AI system lifecycle
- Run structured experiments for AI performance
- Select and evaluate language models
Perks/Benefits
Skills/Tech-stack
API Integration | Agentic Workflows | Embeddings | Evaluation | Experimentation | Language Models | Large Language Models | Machine Learning | Monitoring | Observability | Prompt engineering | Retrieval-Augmented Generation | Tool use | Vector Search
Education
N/A
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