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Fundamental

Forward Deployed Full-Stack Engineer

US (remote)Remote · United States
FullTime · Commercial
POSTED 22 JANVERIFIED 46M AGO
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Pay · market
$152k–$215k
p25–p75 · n=174
Open for
285d
since 22 Jan
Hiring · 30d
25
0 net · open roles
TypeScriptJavaScriptReactNext.jsNode.jsPythonFastAPIGoPostgreSQLRedisAWSGCP

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.

About the role

Fundamental is seeking a Forward Deployed Full-Stack Engineer to build the critical integration layers and interfaces that allow our customers to adopt NEXUS.

The Forward Deployed Engineer is an integral part of our FDE team, dedicated to driving the successful deployment of Fundamental products. While our ML engineers focus on the model performance, you will focus on usability, integration, and system reliability. You will work hand-in-hand with customers from the Proof of Value stage to post-implementation, ensuring our solutions are not just accurate, but accessible, secure, and seamlessly embedded in the client's production workflow. In this role, you’ll manage technical relationships with multiple stakeholders (IT security, application owners, and business users) and function as a key bridge, translating field requirements into features for our platform roadmap.

Key responsibilities

You’ll individually architect and build production-grade applications that wrap our core models, turning projects into intuitive, high-value user experiences

You’ll lead the last mile engineering efforts, handling API integration, data visualization, and authentication/security requirements (SSO, RBAC) within complex enterprise environments (VPC, on-prem, air-gapped)

You’ll design and implement performant backend services to ingest customer data and serve model predictions at scale, ensuring low latency and high availability

You’ll work in collaboration with our research and product teams to translate operational friction - such as data ingestion difficulties or UI gaps - into essential inputs for the Fundamental roadmap

Your collaboration with the Sales and Solution Architect teams will help align diverse stakeholders, building dashboards and tools that allow business users to inspect, trust, and act on predictions

Must have

You hold a BS/MS 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

Nice to have

Experience building tools for Data Science or ML workflows (e.g., labeling interfaces, 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 our ML counterparts

Benefits

Competitive compensation with salary and equity

Comprehensive health coverage for you and your dependents, including medical, dental, vision, and 401K

Source · FundamentalFirst seen 2 NovOriginal ↗