Company Description At Glib.ai, we empower organizations to make faster, data-driven decisions with our cutting-edge AI-powered Intelligent Document Processing (IDP) engine. Our platform automates the extraction, processing, and analysis of insights from unstructured data across various document types like bank statements, invoices, and financial reports. This eliminates manual data entry, enhances accuracy, and reduces decision-making time from days to minutes. We aim to transform operational efficiency and support businesses in saving thousands of man-hours, eliminating errors, reducing compliance risks, and unlocking deeper data insights. Role Description This is a remote internship role for a Director of Underwriting. The Director of Underwriting will be responsible for overseeing the evaluation and analysis of risks, making data-driven decisions, and developing underwriting policies. The role includes analyzing financial documents, collaborating with the actuarial team, and ensuring compliance with industry standards. You will also work closely with finance and actuarial departments to ensure risk management and optimal decision-making. Qualifications Analytical Skills, Actuarial Science, and Data Analysis skillsExperience in Underwriting and developing risk evaluation policiesKnowledge of Insurance and Finance principlesStrong communication and decision-making abilitiesAbility to work independently and remotelyBachelor's degree in Finance, Insurance, Actuarial Science, or related fieldExperience in an AI-driven or data-centric environment is a plus

Position Summary We are seeking an experienced AI Engineer with 3-5+ years of hands-on experience in designing, developing, and deploying AI/ML solutions. You will architect AI systems, build data pipelines, and integrate cutting-edge AI capabilities including LLMs, RAG systems, and cloud-based AI platforms into enterprise applications. Key Responsibilities Design and implement end-to-end AI/ML solutions from data ingestion to model deployment Develop LLMs, NLP applications, and RAG systems using vector databases Build AI-powered chatbots, document processing, and information extraction pipelines Create robust ETL pipelines and optimize data lakehouse architectures Deploy and manage AI solutions on cloud platforms (Azure, GCP, AWS) Develop APIs and microservices for AI model integration Stay current with AI/ML research and experiment with new technologies Required Qualifications Programming : Proficiency in Python (required), JavaScript, Java, or similar languages AI/ML Technologies : Hands-on experience with LLMs, NLP, RAG systems, vector databases, and ML frameworks (TensorFlow, PyTorch, Scikit-learn) Data & Cloud : Experience with data processing tools (Pandas, PySpark, Databricks) and major cloud platforms (Azure, GCP, AWS) Development : Knowledge of SQL/NoSQL databases, REST APIs, microservices, and version control (Git) Experience : 3-5+ years in AI/ML engineering with proven track record of deploying production AI solutions Education : Bachelor's degree in Computer Science, Engineering, Data Science, or related field Preferred Qualifications Experience with LangChain, LlamaIndex, document intelligence, and chatbot development Cloud certifications (AWS ML, Azure AI Engineer, Google Cloud ML) Master's degree in AI/ML or Computer Science MLOps, containerization (Docker), and enterprise software development experience What We Offer Competitive salary and comprehensive benefits Opportunity to work with cutting-edge AI technologies Professional development and flexible work arrangements