AI Engineer

As an AI Engineer at LabelBlind Digital Solutions, you will play a crucial role in designing, orchestrating, and optimizing intelligent AI workflows within the LangChain ecosystem. Your primary responsibilities will include: - Designing and building RAG pipelines for rule-based validation - Extracting structured rules from PDF/XML/web sources using LLMs - Developing AI workflows utilizing LangChain and LangGraph - Implementing semantic search and embeddings for accurate retrieval - Utilizing LangSmith for debugging, tracing, and evaluation - Prototyping workflows with LangFlow - Generating explainable AI outputs for artwork validation - Optimizing prompts and reducing hallucinations To excel in this role, you must possess the following required skills: - Strong experience with LLMs and RAG systems - Hands-on expertise in LangChain, LangGraph, LangSmith, and LangFlow - Experience with embeddings and vector databases such as FAISS, Pinecone, and Weaviate - Proficiency in Python and NLP pipelines - Experience working with unstructured data formats like PDF, HTML, and XML - Strong understanding of prompt engineering and evaluation Additionally, it would be beneficial to have: - Experience in the compliance or regulatory domain, with a preference for food labeling knowledge - Exposure to OCR tools like Tesseract, AWS Textract, and Google Vision - Knowledge of fine-tuning or domain-specific embeddings Your success in this role will be measured by: - High accuracy in rule extraction and validation - Improved retrieval precision and reduced hallucinations - Clear traceability from rule to source to reasoning Join us at LabelBlind Digital Solutions and be a part of revolutionizing the food industry with innovative digital solutions. As an AI Engineer at LabelBlind Digital Solutions, you will play a crucial role in designing, orchestrating, and optimizing intelligent AI workflows within the LangChain ecosystem. Your primary responsibilities will include: - Designing and building RAG pipelines for rule-based validation - Extracting structured rules from PDF/XML/web sources using LLMs - Developing AI workflows utilizing LangChain and LangGraph - Implementing semantic search and embeddings for accurate retrieval - Utilizing LangSmith for debugging, tracing, and evaluation - Prototyping workflows with LangFlow - Generating explainable AI outputs for artwork validation - Optimizing prompts and reducing hallucinations To excel in this role, you must possess the following required skills: - Strong experience with LLMs and RAG systems - Hands-on expertise in LangChain, LangGraph, LangSmith, and LangFlow - Experience with embeddings and vector databases such as FAISS, Pinecone, and Weaviate - Proficiency in Python and NLP pipelines - Experience working with unstructured data formats like PDF, HTML, and XML - Strong understanding of prompt engineering and evaluation Additionally, it would be beneficial to have: - Experience in the compliance or regulatory domain, with a preference for food labeling knowledge - Exposure to OCR tools like Tesseract, AWS Textract, and Google Vision - Knowledge of fine-tuning or domain-specific embeddings Your success in this role will be measured by: - High accuracy in rule extraction and validation - Improved retrieval precision and reduced hallucinations - Clear traceability from rule to source to reasoning Join us at LabelBlind Digital Solutions and be a part of revolutionizing the food industry with innovative digital solutions.