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Fundamental

Predictive analytics platform for structured data

Forward Deployed Full-Stack Engineer

AI Application Engineering +1Confirmed live in the last 24 hours
Full-timeRemote in USA

About the Job

Requirements

  • You hold a Bachelor of Science or Master of Science in Computer Science, Software Engineering, or a related field.
  • You have 5+ years as a Full-Stack Engineer, with a track record of shipping production code in complex environments.
  • You have deep proficiency in modern frontend frameworks (React, TypeScript, Next.js) and data visualization libraries (D3.js, Recharts, or similar).
  • You have strong experience with backend development (Python/FastAPI, Go, or Node.js) and database design (PostgreSQL, Redis).
  • You have experience with containerization (Docker), orchestration (Kubernetes), and CI/CD pipelines.
  • You are comfortable navigating enterprise security constraints and have experience integrating with identity providers (LDAP, SAML, OIDC).
  • You hold strong communication skills with an ability to translate architectural nuances into clear business value for non-technical stakeholders.

Responsibilities

  • Individually architect and build production-grade applications that wrap the core models, turning projects into intuitive, high-value user experiences.
  • Lead last-mile engineering efforts, handling API integration, data visualization, and authentication/security requirements (SSO, RBAC) within complex enterprise environments (VPC, on-prem, air-gapped).
  • Design and implement performant backend services to ingest customer data and serve model predictions at scale, ensuring low latency and high availability.
  • Collaborate with research and product teams to translate operational friction, such as data ingestion difficulties or UI gaps, into essential inputs for the product roadmap.
  • Collaborate with Sales and Solution Architect teams to align diverse stakeholders and build dashboards and tools that allow business users to inspect, trust, and act on predictions.

Desired Qualifications

  • Experience building tools for Data Science or ML workflows, such as labeling interfaces or model monitoring dashboards.
  • Experience with cloud-native architectures (AWS, GCP, Azure) and Infrastructure as Code (Terraform).
  • Experience as a Forward Deployed Engineer, Solutions Engineer, or Technical Consultant in a B2B software company.
  • Familiarity with data processing frameworks (Pandas, PySpark) to better collaborate with ML counterparts.

About the Company

Fundamental

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.

Company size
51-200
Company stage
N/A
Total funding
$255M
Headquarters
San Francisco, CA
Founded
2024

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