Cys - Data & Application Engineer - Idg

Leonardo Worldwide Corporation

Roma, Italy
Not specified; not specified; not specified
Hybrid
Python programming with modular design
Rag architecture and llm prompting
Hybrid retrieval tuning (bm25 + semantic)
The role involves designing and developing RAG/LLM components to provide synthetic and explainable answers on internal documents

Job Summary

  • The role involves designing and developing RAG/LLM components to provide synthetic and explainable answers on internal documents.
  • Candidates will define and implement comprehensive evaluation methodologies to ensure groundedness, completeness, and coherence of AI responses.
  • The position requires collaborating with platform teams to integrate inference backends while ensuring low latency and robust performance.

Matching Summary

The role involves designing and developing RAG/LLM components to provide synthetic and explainable answers on internal documents.

Salary

Not specified; Not specified; Not specified

Skills & Requirements

Must-have

  • Python programming with modular design
  • RAG architecture and LLM prompting
  • Hybrid retrieval tuning (BM25 + semantic)
  • Evaluation framework development
  • Vector search and reranking systems

Nice-to-have

  • Experience with MLOps and observability
  • Background in defense or security domains
  • Containerized stack experience (Docker/K8s)
  • GPU inference optimization knowledge
  • Cross-functional team collaboration

Key Requirements

  • Master's degree or PhD in Data Science, Computer Science, Engineering, Math, or Statistics
  • Senior-level experience in NLP and LLM architectures
  • Strong background in statistical experimentation and A/B testing concepts

Work Rights

Not specified

Tailored Resume

Cover Letter