
51 - 200 employees
Founded 2024
🤖 Artificial Intelligence
🏢 Enterprise
☁️ SaaS
Artificial Intelligence • Enterprise • SaaS
Fundamental is an enterprise AI company that builds large tabular models (LTMs) such as NEXUS, pre-trained on billions of tables to detect patterns and predict outcomes from structured data. The company offers an enterprise-grade predictive analytics platform that can be deployed with minimal code or integrated deeply with cloud partners like AWS, emphasizing privacy, security, and scalability. Born from academic research and backed by major investors, Fundamental targets large organizations seeking to extract foresight from their databases and deploy predictive models at cloud scale.
🕒 February 26
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51 - 200 employees
Founded 2024
🤖 Artificial Intelligence
🏢 Enterprise
☁️ SaaS
Artificial Intelligence • Enterprise • SaaS
Fundamental is an enterprise AI company that builds large tabular models (LTMs) such as NEXUS, pre-trained on billions of tables to detect patterns and predict outcomes from structured data. The company offers an enterprise-grade predictive analytics platform that can be deployed with minimal code or integrated deeply with cloud partners like AWS, emphasizing privacy, security, and scalability. Born from academic research and backed by major investors, Fundamental targets large organizations seeking to extract foresight from their databases and deploy predictive models at cloud scale.
• Developing both the front-end and back-end systems that allow users to seamlessly interact with our models • Building robust backend services and APIs for model inference, including efficient batching systems and optimization for large datasets • Implementing state management and session persistence mechanisms to maintain model context and deliver consistent user experiences • Designing and developing responsive, user-friendly frontends for model interaction, monitoring, and configuration using modern frameworks (React, Vue, or Angular) • Designing event-driven architectures with pub/sub messaging patterns to enable asynchronous processing and system scalability • Developing database connectivity layers and integration points with third-party data sources (e.g., Snowflake, Databricks) • Creating comprehensive error handling, retry mechanisms, and monitoring solutions to ensure system reliability • Collaborating with MLOps and DevOps teams to optimize the overall architecture and deployment pipeline
• 5+ years of experience in backend engineering roles • Strong Python development experience, particularly with FastAPI and the ASGI ecosystem for high-performance API development • Experience building full-stack applications with modern frontend frameworks (React, Vue, Angular) and backend systems • Proficiency designing event-driven architectures using pub/sub messaging patterns and integrating distributed task queues (e.g., Celery) for asynchronous processing • Understanding of model serving patterns (REST, gRPC, async batching) and experience handling large-scale inference workflows in production • Knowledge of database systems (SQL/NoSQL) and integration with cloud data platforms (Snowflake, Databricks) • Experience with state management, session persistence, and efficient data flow patterns in distributed applications • Proven ability to deliver high-quality, maintainable frontend code and collaborate with design/product stakeholders
• Competitive compensation with salary and equity • Comprehensive health coverage, including medical, dental, vision, and 401K • Fertility support, as well as paid parental leave for all new parents, inclusive of adoptive and surrogate journeys • Relocation support for employees moving to join the team in one of our office locations • A mission-driven, low-ego culture that values diversity of thought, ownership, and bias toward action
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