AI Engineer – RAG & LLM Systems (FoodTech Co.) (MUMBAI)

AI Engineer – RAG & LLM Systems

Location: In Office / Hybrid

Experience: 3–7 Years

About the Role:

Company Description

LabelBlind® Digital Solutions revolutionizes the food industry by offering comprehensive tools for Product and Labelling Compliance, Nutrition Assessment, Labelling Automation, and Market Readiness for food companies. Through its flagship product, FoLSol®️, LabelBlind® delivers India’s first digital food labelling solution designed to ensure regulatory compliance, transparency, accuracy, and efficiency in creating food labels.

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

Required Skills:

- Strong experience with LLMs and RAG systems

- Hands-on expertise in LangChain, LangGraph, LangSmith, LangFlow

- Experience with embeddings and vector databases (FAISS, Pinecone, Weaviate)

- Proficiency in Python and NLP pipelines

- Experience with unstructured data (PDF, HTML, XML)

- Strong understanding of prompt engineering and evaluation

Good to Have:

- Experience in compliance or regulatory domain (Food labeling preferred)

- Exposure to OCR tools (Tesseract, AWS Textract, Google Vision)

- Knowledge of fine-tuning or domain-specific embeddings

Success Metrics:

- High accuracy in rule extraction and validation

- Improved retrieval precision and reduced hallucinations

- Clear traceability (rule → source → reasoning)