Job Description
Company Description Dragin is an innovator in alternative finance, providing AI-powered automation for the entire deal process. The company helps funders, brokers, and underwriting teams streamline workflows from intake and document analysis to offer generation on a single platform built for speed and scale. Dragin’s technology enables businesses to grow efficiently, with clients transacting over $10M daily while reducing manual work and closing more deals. The organization focuses on building robust, scalable solutions that transform how financial transactions are evaluated and executed, offering a dynamic environment for professionals interested in AI and fintech.
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Role Description The AI Developer (Python) will design, develop, and maintain AI-driven solutions that automate and optimize the deal workflow within Dragin’s platform. Responsibilities include building and training machine learning models, implementing pattern recognition and NLP algorithms, integrating neural network-based components, and collaborating with product and underwriting teams to translate business requirements into technical solutions. The role involves writing clean, efficient Python code, performing data preprocessing and feature engineering, conducting model evaluation and optimization, and supporting deployment and monitoring in production environments. This is a full-time, on-site role based in the New York City Metropolitan Area, requiring regular in-office collaboration with cross-functional partners.
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Qualifications
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- Strong foundation in Computer Science and Software Development, with proficiency in Python and experience building production-grade applications.
- Hands-on experience with Neural Networks and Pattern Recognition, including designing, training, and tuning models for real-world use cases.
- Practical knowledge of Natural Language Processing (NLP), particularly for document analysis, data extraction, and workflow automation.
- Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn) and familiarity with MLOps practices.
- Ability to work with structured and unstructured data, including data preprocessing, feature engineering, and model evaluation.
- Bachelor’s degree or higher in Computer Science, Engineering, Mathematics, or a related field, or equivalent practical experience.
- Strong analytical and problem-solving skills, with the ability to collaborate effectively in an in-office, cross-functional environment.
- Experience in fintech, alternative finance, or enterprise SaaS platforms is beneficial.
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