Senior AI Engineer (IRC306816)
GlobalLogic
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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
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Last responded 1 hour ago
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$4000-5600
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