Posted 2mo ago
Pay
Not stated
Location
Gurgaon
On site
Skills this role screens for
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Still studying?Paid AI and machine learning internships open nowAbout the role
dunnhumby is the global leader in Customer Data Science, partnering with the world’s most ambitious retailers and brands to put the customer at the heart of every decision. We combine deep insight, advanced technology, and close collaboration to help our clients grow, innovate, and deliver measurable value for their customers. dunnhumby employs nearly 2,500 experts in offices throughout Europe, Asia, Africa, and the Americas working for transformative, iconic brands such as Tesco, Coca-Cola, Nestlé, Unilever and Metro. Most companies try to meet expectations, dunnhumby exists to defy them. Using big data, deep expertise and AI-driven platforms to decode the 21st century human experience – then redefine it in meaningful and surprising ways that put customers first. Across digital, mobile and retail. For brands like Tesco, Coca-Cola, Procter & Gamble and PepsiCo. We are looking for a hands-on AI Engineer to build production-grade AI systems powered by LLMs and agents. This role goes beyond prototypes, you’ll design reliable, observable, and safe AI applications at scale. Key Responsibilities • Design and develop LLM-powered applications and AI agents for real-world use cases • Build and orchestrate agent workflows using LangChain and LangGraph • Implement human-in-the-loop (HITL) systems for controlled AI decision-making • Design and optimize RAG pipelines • Advanced retrieval strategies (hybrid search, re-ranking, filtering) • Effective chunking strategies (semantic chunking, hierarchical chunking, context-aware sp
Responsibilities
From Dunnhumby's own careers system (Greenhouse).
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Dunnhumby is a global leader in Customer Data Science, partnering with ambitious retailers and brands to utilize customer data for strategic decision-making. They combine deep insight, advanced technology, and close collaboration to help clients achieve growth, innovation, and measurable value. The company focuses on areas like loyalty, category management, and retail media, aiming to help businesses make better decisions faster through AI-driven science and decades of expertise.
The interview process for an Engineering Manager role is likely to be structured, evaluating both technical leadership and hands-on engineering capabilities. Given the company's size and global presence, it will involve multiple stages, focusing on problem-solving, architectural design, team management, and cultural fit.
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