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AI Engineer

at Savannahr

Noida, Uttar Pradesh, onsite, full time, 2–5 years

seen 3d ago

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  • Vector search
  • pgvector
  • scikit-learn
  • Qdrant
  • LLM
  • Pinecone
  • NumPy
  • Embeddings
  • PyTorch
  • Docker
  • AWS
  • Python
  • TensorFlow
  • Anthropic
  • SQL
  • Git
  • FAISS
  • Pandas
  • RAG
  • OpenAI
  • FastAPI
  • Weaviate
  • Gemini
  • REST APIs

About the role

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

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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.

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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

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What you would do

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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

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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

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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

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REQUIRED TECHNICAL SKILLS

Read from savannahr.com, last seen 3d ago.

- 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

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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)

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PREFERRED INDUSTRY EXPERIENCE

- E-commerce, D2C, fashion, beauty, retail, CRM or consumer products - Working with product catalogs, customer behavior, reviews, inventory or transaction data

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What they are looking for

- 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

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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

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TOOLS YOU WILL USE

Python, FastAPI, PyTorch or TensorFlow, scikit-learn, Pandas, SQL, LLM APIs, vector databases, Docker, Git, AWS

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What comes with it

- 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

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