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AI Automation & RAG Lead - Ecommerce

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Job Description

Company Description

Renaissance Global Limited is a leading global branded jewelry company with over 25 years of experience designing and manufacturing jewelry for marquee clients across the USA, Canada, UK, and key Asian markets. With a strong focus on its Branded Jewelry division, the company operates through synergistic licensing agreements with renowned global brands, such as Disney, Hallmark, and NFL, and owns brands like Irasva, Jewelili, and Made For You. Renaissance leverages its team of over 150 designers to craft more than 1,000 unique designs monthly, combining expertise in global fashion trends and state-of-the-art technology. With operations in B2B and D2C models, the Company successfully markets its licensed and owned brands across six online stores, delivering fine craftsmanship and sophisticated designs to customers worldwide.

Job Description: AI Automation & RAG Lead – E-commerce

Department: Technology / Digital Innovation

Reports To: President - Digital Transformation

Experience: 5–10+ years overall, with 2+ years in AI automation, LLMs, RAG, or AI agents

Employment Type: Full-Time

Location : Andheri East MIDC

About the Role

We are seeking an experienced AI Automation & RAG Lead to design, build, and scale AI-powered solutions across our e-commerce business. The ideal candidate will have hands-on expertise with n8n, AI agents, Retrieval-Augmented Generation (RAG), LLMs, vector databases, and e-commerce platforms.

This role will be responsible for automating customer support, merchandising, marketing, operations, analytics, and internal workflows using AI. You will work closely with business stakeholders to identify opportunities, build production-grade solutions, and deliver measurable business impact. Modern AI automation roles increasingly combine workflow orchestration, AI agents, APIs, and RAG systems rather than traditional software development alone.

Key Responsibilities

AI & Automation

  • Design and build AI-powered workflows using n8n.
  • Develop AI agents for customer support, product discovery, merchandising, and operations.
  • Integrate OpenAI, Anthropic, Gemini, and other LLMs into business processes.
  • Build and maintain automated workflows connecting Shopify, Klaviyo, Meta, Google Ads, CRM, ERP, and analytics platforms.
  • Create autonomous AI systems that reduce manual effort and improve operational efficiency.

RAG & Knowledge Systems

  • Design and deploy Retrieval-Augmented Generation (RAG) solutions for:
  • Customer support
  • Product recommendations
  • Internal knowledge bases
  • Operations documentation
  • Marketing intelligence
  • Build vector databases and semantic search systems.
  • Optimize retrieval quality, grounding, and hallucination prevention.
  • Develop evaluation frameworks for AI response quality and accuracy. RAG systems are widely used to improve factual accuracy by retrieving information from company knowledge sources before generating responses.

E-commerce Applications

  • Build AI-powered shopping assistants and recommendation engines.
  • Automate catalog enrichment, SEO content generation, and product classification.
  • Create AI workflows for abandoned cart recovery, customer segmentation, and lifecycle marketing.
  • Integrate AI insights into customer service and sales operations.

Engineering & Architecture

  • Build scalable integrations using APIs, webhooks, databases, and cloud services.
  • Deploy production-grade AI systems with monitoring and observability.
  • Maintain security, compliance, and governance standards.
  • Work closely with marketing, customer experience, operations, and leadership teams.

Required Skills & Experience

Must-Have

  • Strong hands-on experience with n8n.
  • Experience building AI agents and workflow automation.
  • Experience implementing RAG architectures.
  • Strong understanding of:
  • OpenAI APIs
  • Claude APIs
  • Gemini APIs
  • Prompt engineering
  • Agent frameworks
  • Experience with vector databases such as:
  • Pinecone
  • Weaviate
  • Qdrant
  • ChromaDB
  • Strong API integration skills.
  • Experience with SQL and Python.
  • Familiarity with cloud platforms (AWS, GCP, Azure).

E-commerce Experience

  • Experience working with:
  • Shopify
  • Klaviyo
  • Meta Ads
  • Google Ads
  • GA4
  • Customer support platforms
  • Understanding of:
  • Conversion funnels
  • Customer lifecycle marketing
  • Product catalog management
  • Customer support workflows

Preferred Qualifications

  • Experience building AI customer support agents.
  • Experience deploying AI solutions in retail or e-commerce environments.
  • Knowledge of LangChain, LangGraph, CrewAI, AutoGen, or similar frameworks.
  • Experience with data pipelines and analytics.
  • Experience managing external AI vendors and freelancers.
  • Startup or high-growth e-commerce experience. 

Interested Candidates pls share your Updated resume on [Confidential Information]

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Job ID: 149069655