Fullstack Developer

Polysentry’s leading data analytics and intelligence solutions empower teams to swiftly convert vast amounts of global data into actionable and contextual insights, enabling organizations to make better decisions. We engage in close collaboration with customers in high-stakes industries, including financial services, legal, and government. The vital insights we deliver play a pivotal role in safeguarding critical assets on a global scale. Our Company Polysentry is a technology company that provides industry leading data discovery, classification and analysis solutions. Since 2018, Polysentry has been building and deploying mission-ready AI-based platforms that meet rapidly evolving security needs. The company’s software solutions are built for corporate and government organizations. Our Team Our innovative team is building cutting‑edge Retrieval-Augmented Generation (RAG) systems that significantly improve information retrieval accuracy. We’re working with the latest embedding models, vector databases, and LLMs to develop solutions that maintain critical context during retrieval operations. The Role We're seeking a Developer to contribute to our advanced RAG platform under the guidance of our senior engineers. You’ll help implement and optimize systems that reduce retrieval failure rates by improving how context is maintained during information retrieval. You’ll get hands‑on experience with contextual embedding techniques while building practical features for our platform. Responsibilities Implement document preprocessing pipelines for contextual embeddings and BM25 Build and improve UI components for our RAG system dashboard Develop integration points between different components of the retrieval system Test and compare different retrieval strategies across various knowledge domains Help implement evaluation frameworks to measure retrieval performance Contribute to documentation and technical resources for both internal and external use Requirements Experience with frontend and backend development Understanding of embedding models and vector search concepts Familiarity with REST APIs and data processing pipelines Knowledge of modern web development frameworks Ability to work with Python for data processing tasks Experience with databases (SQL and/or vector databases) Solid testing and debugging skills Good communication and collaboration abilities Nice to Have Experience with BM25, TF‑IDF, or other lexical search algorithms Knowledge of LLMs and prompt engineering Familiarity with performance optimization techniques Understanding of evaluation metrics for information retrieval Experience with data visualization or dashboard development Background or interest in NLP or computational linguistics Previous work with document processing or chunking strategies We build data integration platforms that enable critical decisions in dynamic, high-risk settings across industrial, commercial, and government operations. #J-18808-Ljbffr