Senior AI Engineer (IRC306816)

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.