Senior AI Engineer – Retrieval & Evaluation

GlobalLogic is seeking a Senior AI Engineer specializing in Retrieval & Evaluation to join their team in Lviv, Ukraine. This role is crucial for designing and delivering an enterprise-scale, Human-in-the-Loop (HITL) AI agent platform, aimed at accelerating expert analyst decision-making through advanced generative and agentic AI systems.

GlobalLogic, a Hitachi Group company, is a leader in digital engineering, partnering with innovative companies worldwide to create impactful digital products and experiences. They are committed to positive societal and environmental impact through technology.

If you are passionate about cutting-edge AI and want to engineer impact, join us in shaping the future of digital engineering.

Company Overview

GlobalLogic, a Hitachi Group Company, is a trusted digital engineering partner for the world's largest and most innovative companies. Since 2000, they have been at the forefront of the digital revolution, creating widely used digital products and experiences. Their purpose is to positively impact society and the planet through cutting-edge technology, engineering impact through intelligent products, platforms, and services.

They foster a people-first culture with a unique lab model and flexible delivery options. GlobalLogic is recognized for its leadership in digital engineering services and its commitment to sustainability and diversity.

Quick Details

• Salary Range: Not Applicable
• Job Type: Full-time
• Qualifications: Bachelors Degree
• Experience: 5 Year+

Key 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.

Requirements

• 5+ years of engineering, including 2+ years on production retrieval-augmented generation (RAG) or search systems.
• Experience with Embeddings, vector databases (Vertex AI Vector Search, pgvector or similar), hybrid search and rerankers.
• Knowledge of LLM evaluation methods and tooling (Ragas, DeepEval, custom judges, golden-set design).
• Strong Python skills, from prototype through to production code.

Benefits

• Empowering Projects: Contribute to groundbreaking projects with 500+ clients across diverse industries.
• Empowering Growth: Continuous learning and professional development with dedicated L&D support.
• DE&I Matters: An inclusive and empowering work environment valuing diversity and equal opportunities.
• Career Development: Abundant opportunities for growth, engagement, motivation, and recognition.
• Comprehensive Benefits: Equitable compensation and a comprehensive benefits package prioritizing well-being.
• Flexible Opportunities: Work-life balance with flexible options, including relocation and rotation opportunities.