Full-Stack Engineer
- Compensation
- Not disclosed
- Location
- Europe
- Work setup
- Remote
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- 5+ years
- Category
- Fullstack
- Posted
Skills
Must have
- 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
Full description
About Fundamental
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.
Key responsibilities
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
Must have
- 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