Full-Stack Engineer
Fundamental
Full-Stack Engineer
Fundamental
Predictive analytics platform for structured data
Fundamental is an AI research lab pioneering the future of enterprise decision-making. Our flagship model, NEXUS is the world's most powerful Large Tabular Model (LTM) - purpose-built for the structured records that contain trillions of dollars in business value. With $275m in funding from leading investors and trusted by Fortune 100 companies, Fundamental is giving businesses the Power to Predict.
At Fundamental, you'll work on unprecedented technical challenges in foundation model development and build technology that transforms how the world's largest companies make decisions. This is your opportunity to be part of a category-defining company from the ground-up. Join the team defining the future of enterprise AI.
As a Full-Stack Engineer at Fundamental, you will be responsible for developing both the front-end and back-end systems that allow users to seamlessly interact with our models. You will work on everything from the user interface to building scalable systems that power data upload and integration pipelines.
Your responsibilities will include:
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 Full-Stack 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 for you and your dependents
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
Predictive analytics platform for structured data
Fundamental offers an enterprise-grade predictive intelligence product called NEXUS, a Large Tabular Model that analyzes structured data from spreadsheets, databases, and CRM systems. It learns patterns directly from raw tabular data, eliminating the need for extensive feature engineering, and combines forecasting, classification, anomaly detection, and scenario simulation in one model. NEXUS is deployed through the AWS dashboard via a strategic partnership and was trained on Amazon SageMaker HyperPod to handle datasets with billions of rows, serving industries like financial services, healthcare, retail, and energy with seven-figure contracts for use cases like demand forecasting, price prediction, and churn analysis. The goal is to turn raw data into actionable insights that improve forecasting accuracy, reduce risk, and optimize business outcomes, setting Fundamental apart by focusing on structured data rather than unstructured text or images.
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