Remote: Hybrid

Who we are:Founded in 1998 at Vancouver, lululemon is a performance and lifestyle product company that create transformational products and experiences that build meaningful connections, unlocking greater possibility and wellbeing for all. We are driven by our brand purpose to elevate human potential by making individuals feel their best which helps us design our products with high filter and high style. We use a unique product creation methodology called Science of Feel in all our products to offer convenient, comfortable, and long-lasting experience. We owe our success to our cutting-edge products, commitment to our people, and the incredible connections we make in every community we're in.Core responsibilities:As a Software Engineer, you will build and maintain data systems and AI-enabled platform capabilities that support product teams, working within established architectural patterns for how enterprise knowledge is modeled, connected, and consumed. You will develop skills and experience at the intersection of Data (logical and semantic), AI/LLM retrieval and grounding, and distributed systems and APIs.You will lead technical design discussions presenting proposals and trade-offs, conduct thorough code reviews ensuring quality and maintainability standards, and mentor junior engineers through pair programming and technical guidance on coding practices and problem-solving approaches. You will collaborate closely with product managers and stakeholders on technical feasibility and scope definition,



make technical decisions for projects including technology choices and implementation strategies, and contribute to team engineering practices and standards that improve code quality and development velocity. This role may require availability outside of standard business hours, including on call support, based on business needs.Select responsibilities include:Implement and maintain components of canonical semantic models (taxonomies, ontologies, knowledge graphs) for enterprise domains such as product, customer, and supply chainBuild and support systems that provide high-quality context for LLMs, including Retrieval pipelines (RAG / GraphRAG), Semantic search (embeddings, hybrid search), and evidence-based reasoning layersWork alongside AI/ML Science teams to test and validate model outputs, surfacing issues that contribute to hallucination risk or reduced trust in AI-generated outputsIdentify and escalate challenges related to data ambiguity, duplication, and inconsistencies, and implement fixes in line with established schema governance and versioning practicesDesign and implement technical solutions for features and systems within established architectural frameworks including component design, API contracts, and data modelsWrite high-quality,



scalable code across the full technology stack following software engineering best practicesLead technical design discussions on implementation approaches presenting proposals and facilitating team alignmentConduct thorough code reviews ensuring adherence to standards, identifying security vulnerabilities, and providing mentorship through feedbackImplement comprehensive automated testing strategies including unit, integration, and end-to-end tests to ensure qualityQualifications:Bachelors degree in Computer Science, Software Engineering, or related technical field, or equivalent experience4-8 years of software development experience designing scalable systems and leading technical implementation, or equivalentProven experience designing and implementing features with high-quality, well-tested code; track record of leading code reviews and providing constructive mentorship through feedbackDemonstrated ability to decompose complex problems into implementable solutions; experience analysing how technical decisions propagate across distributed systemsExperience designing and implementing complex integrations ensuring reliable inter-system communication; familiarity with presenting integration approaches and architectural trade-offsExperience building knowledge bases in retail or similar domainsFamiliarity with search, recommender and RAG/GraphRAG hybrid retrieval architecturesExposure to AI-driven systems - optimization, predictions and AgentsExperience working with knowledge representation for LLM-powered applications

📌 Software Engineer Data and AI Platforms (Bengaluru)
🏢 lululemon India Tech Hub
📍 Bengaluru