Senior AI Engineer — LLM Applications (Patent NLP)
- Рівень:
- senior
- Джерело:
- djinni.co
Що робити
- Design, build, and operate the LLM-driven services that power patent ingestion, classification (IPC/CPC), claim and entity extraction, semantic search, and prior-art retrieval across the Digital IP platform.
- Own the lifecycle of LLM applications on patent data: retrieval design, prompt and chain engineering, structured-output design, evaluation, and continuous improvement on top of managed LLMs.
- Build retrieval systems over Ingersoll Rand's internal corpus and external patent databases (USPTO, EPO, WIPO), including embedding strategy, vector indexes, and hybrid lexical/semantic search.
- Develop rigorous offline and online evaluation: gold sets co-curated with the IP Council, regression suites, hallucination and citation-faithfulness checks, and human-in-the-loop review workflows.
- Productionise LLM-driven systems end-to-end — retrieval indexes, prompt and chain wiring, serving, monitoring, latency and cost control — on Snowflake (Cortex, Snowpark).
Що пропонуємо
- Direct experience with patent or other long-form legal/technical documents: claim structure, IPC/CPC taxonomies, USPTO/EPO/WIPO data, or PATSTAT.
- Fine-tuning of LLMs or embedding models for domain-specific tasks, where the case for it was clear.
- Classical NLP or machine-learning background (training models, MLO
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