AI Engineer - RAG & LLM Systems

at TalentXO

AI Engineer - RAG & LLM Systems

TalentXO

Company

Home

AI Engineer - RAG & LLM Systems

at TalentXO

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

Role & Responsibilities

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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About TalentXO

Founded :

2018

Type :

Product

Size :

20-100

Stage :

Profitable

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