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AI Engineer - RAG & LLM Systems
AI Engineer - RAG & LLM Systems
TalentXO's logo

AI Engineer - RAG & LLM Systems

tabbasum shaikh's profile picture
Posted by tabbasum shaikh
3 - 7 yrs
₹8L - ₹12L / yr
Mumbai
Skills
AI Engineer
LLM Engineer
RAG
AI/ML

Role & Responsibilities

We are building an AI-powered Artwork Validation Platform that reads global regulatory rules and validates product packaging using LLMs and Retrieval-Augmented Generation (RAG). We are looking for a hands-on AI Engineer with strong expertise in the LangChain ecosystem to design, orchestrate, and optimize intelligent AI workflows.

Key Responsibilities:

  • Design and build RAG pipelines for rule-based validation
  • Extract structured rules from PDF/XML/web sources using LLMs
  • Develop AI workflows using LangChain and LangGraph
  • Implement semantic search and embeddings for accurate retrieval
  • Use LangSmith for debugging, tracing, and evaluation
  • Prototype workflows using LangFlow
  • Generate explainable AI outputs for artwork validation
  • Optimize prompts and reduce hallucinations

Ideal Candidate

  • Strong AI Engineer / LLM Engineer profile with hands-on experience building RAG or LLM applications
  • Mandatory (Experience): Must have 3+ years of software engineering experience with atleast 6+ months in AI/ML, NLP, or deploying LLM based application
  • Mandatory (LLM & RAG): Must have strong hands-on experience building RAG pipelines, LLM workflows, semantic search, or AI-powered retrieval systems
  • Mandatory (LangChain Ecosystem): Must have hands-on experience with LangChain. Experience with LangGraph, LangSmith, and LangFlow is highly important
  • Mandatory (Vector DB & Embeddings): Must have worked on embeddings and vector databases like Pinecone, FAISS, Weaviate, ChromaDB, etc.
  • Mandatory (Programming): Strong Python skills with experience building AI/NLP pipelines or backend AI workflows
  • Mandatory (Data Processing): Must have experience working with unstructured data such as PDFs, HTML, XML, scanned documents, or web data
  • Mandatory (Prompt Engineering): Must have good understanding of prompt engineering, hallucination reduction, retrieval accuracy, and LLM evaluation
  • Mandatory (Company): Service or product companies acceptable given they have real AI/ML, LLM based experience
  • Mandatory (Note): Must be comfortable with a 6-day (3 days in office) hybrid work model. Mon-Friday 8:30-5:30 pm and Saturdays 8:30-1:00 pm
  • Preferred (Experience): Exposure to food compliance domain


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Shubham Vishwakarma

Full Stack Developer - Averlon
I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.
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About TalentXO

Founded :
2018
Type :
Product
Size :
20-100
Stage :
Profitable

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