Senior AI Engineer (IRC306816)

GlobalLogic ๐Ÿ”ฅ
$$$$

GlobalLogic takes an opportunity to partner with a leading global threat intelligence platform to design and deliver an enterprise-scale, Human-in-the-Loop (HITL) AI agent platform. The initiative centers on accelerating expert analyst decision-making by augmenting high-complexity threat intelligence workflows with cutting-edge generative and agentic AI systems.

 

Requirements

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.

 

Desirable qualifications

  • An information retrieval or NLP research background.
  • Vertex AI Search, BigQuery, and in-context learning optimization (for example, DSPy).
  • Structured report generation and citation grounding.

 

Job responsibilities

  • 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.

Required skills experience

Python 5 years
LLM 2 years
RAG 2 years
Vector databases 2 years

Required languages

English B2 - Upper Intermediate
Published 21 October
20 views ยท 5 applications
Last responded 1 hour ago
To apply for this and other jobs on Djinni login or signup.
Loading...