About the job
Join Fundamental as a Forward Deployed Full-Stack Engineer
At Fundamental, we are at the forefront of redefining enterprise decision-making through artificial intelligence. Founded by alumni from DeepMind, we have created NEXUS, the world’s most advanced Large Tabular Model (LTM), tailored specifically for the structured records that underpin crucial business decisions. Supported by elite investors and relied upon by Fortune 100 companies, we are unlocking trillions in value by empowering organizations with the Power to Predict.
As a Forward Deployed Full-Stack Engineer, you will tackle groundbreaking technical challenges in model deployment and contribute to technology that reshapes decision-making for major companies globally. This role is your opportunity to be part of a pioneering organization right from its inception and help shape the future of enterprise AI.
Your Role and Responsibilities
We are looking for a Forward Deployed Full-Stack Engineer to develop critical integration layers and interfaces that facilitate the adoption of NEXUS by our clients.
In this pivotal role within our FDE team, you will drive the successful implementation of our products. While our machine learning engineers concentrate on enhancing model performance, your focus will be on ensuring usability, seamless integration, and system reliability. You will collaborate closely with clients from the Proof of Value phase through to post-implementation, guaranteeing that our solutions are not only precise but also user-friendly, secure, and smoothly integrated into their existing workflows.
In this position, you will manage technical relationships with various stakeholders including IT security, application owners, and business users, serving as a vital bridge that translates client needs into features for our platform roadmap.
Key Responsibilities
Architect and build production-grade applications that enhance our core models, transforming projects into intuitive, high-value user experiences.
Lead engineering efforts for last-mile implementation, managing API integrations, data visualizations, and security requirements (SSO, RBAC) in complex enterprise settings (VPC, on-prem, air-gapped).
Design and implement efficient backend services that process customer data and deliver model predictions at scale, ensuring low latency and high availability.
Collaborate with research and product teams to convert operational challenges—such as data ingestion issues or UI gaps—into key insights for the Fundamental roadmap.

