AI Engineer

AI Engineer (GenAI, RAG, Recommendations and Predictive Analytics) - Noida - On-site - Full Time ​ We are hiring an AI Engineer for an AI-first D2C ecommerce marketplace based in Noida (on-site, Monday to Friday). You will build production AI/ML systems across the storefront and the CRM: product recommendations and personalization, semantic search and ranking, LLM-powered shopping assistants, RAG over product catalogs and reviews, and demand, inventory and sales forecasting. This is a ground-up build with direct ownership of AI features that move revenue. ​ POSITION SNAPSHOT - Job Title: AI Engineer (GenAI, Recommendations and Predictive Analytics) - Location: Noida, Uttar Pradesh (on-site, 5 days a week) - Experience: 2 to 5 years - Employment Type: Full Time, Permanent - Industry: E-commerce / D2C / Retail Technology - Function: Data, AI and Machine Learning ​ KEY RESPONSIBILITIES ​ Customer-Facing AI - Build product recommendation and personalization systems for the marketplace - Improve product search with semantic search, ranking and retrieval - Build LLM-powered shopping assistants and product question answering - Develop RAG systems over product catalogs, attributes, reviews and business data - Build AI systems for product classification, tagging and catalog enrichment ​ CRM and Business AI - Build inventory projection and demand forecasting systems - Develop sales forecasting and predictive models - Predict stock-outs and overstock, and identify slow-moving products - Build customer segmentation, churn and behavioral models - Develop AI-powered CRM insights, recommendations and workflows ​ AI Engineering - Design, build, evaluate and deploy AI/ML systems in production - Build APIs and services that integrate AI with the marketplace and CRM - Monitor and improve accuracy, latency, cost and business impact - Partner with product and engineering to identify AI-solvable business problems - Define the data needed to train and improve AI systems ​ REQUIRED TECHNICAL SKILLS - 2+ years building and shipping AI/ML systems in production - Strong Python and solid machine learning fundamentals - Hands-on with LLMs and LLM APIs (OpenAI, Anthropic, Gemini or similar) - RAG, embeddings and vector search - At least one vector database: Qdrant, pgvector, Pinecone, Weaviate or FAISS - Recommendations, personalization, search, ranking or retrieval - Predictive modeling or forecasting - Strong SQL and data-processing skills - Building REST APIs and production services - Working knowledge of Git and Docker - Ability to translate business problems into practical AI/ML solutions ​ PREFERRED / BONUS SKILLS - FastAPI - PyTorch or TensorFlow - scikit-learn, NumPy and Pandas - Agentic AI and tool calling - AI/ML evaluation and A/B testing - AWS or other cloud platforms - AI/ML deployment and monitoring (MLOps) ​ PREFERRED INDUSTRY EXPERIENCE - E-commerce, D2C, fashion, beauty, retail, CRM or consumer products - Working with product catalogs, customer behavior, reviews, inventory or transaction data ​ EDUCATION - Bachelor's or Master's degree in Computer Science, Data Science, AI/ML, Statistics, Mathematics or Engineering preferred - Strong practical experience can compensate for a different educational background ​ SOFT SKILLS - Business-first thinking: you pick the model that moves the metric, not the one that looks impressive - Comfortable with ambiguity and early-stage ownership - Clear communication with product, engineering and business stakeholders ​ TOOLS YOU WILL USE Python, FastAPI, PyTorch or TensorFlow, scikit-learn, Pandas, SQL, LLM APIs, vector databases, Docker, Git, AWS ​ COMPENSATION AND BENEFITS - Location: Noida, Uttar Pradesh - work from office, Monday to Friday - Early-stage ownership of AI systems that are core to the product and the business ​ WHO WE ARE LOOKING FOR We are not looking for someone who only builds chatbots or wires an LLM to a vector database. We want an engineer who can apply AI end to end across two chains: customer to product to search to recommendation to personalization to LLM, and customer to sales to inventory to forecasting to CRM to business insights. ​ The employer is an equal opportunity employer and welcomes candidates from all backgrounds.