AI Engineer (GenAI, RAG, Recommendations and Predictive Analytics) – Noida – On-site – Full Time – INR 10-15 LPA

​

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

• Budget: INR 10-15 LPA (based on experience and skills)

• 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

• INR 10-15 LPA, based on experience and interview performance

• 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.