Senior AI Engineer (IRC306816)
- Рівень:
- senior
- Джерело:
- djinni.co
Що робити
- Build hybrid retrieval over enterprise sources (vector and keyword search), with reranking and permission-aware filtering.
- Build the precedent store: index decision points with human decisions and rewards, and retrieve the right examples at runtime.
- Deliver report generation and explanation layers with source attribution.
- Build automated evaluation: golden datasets, LLM-as-judge, regression suites, and A/B tests of few-shot strategies.
- Apply the dynamic few-shot approach to the LLM stage of alert triage.
Що очікуємо
- Essential qualifications
- 5+ years of engineering, including 2+ years on production retrieval-augmented generation (RAG) or search systems.
- Embeddings, vector databases (Vertex AI Vector Search, pgvector or similar), hybrid search and rerankers.
- LLM evaluation methods and tooling (Ragas, DeepEval, custom judges, golden-set design).
- Strong Python, from prototype through to production code.
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