Forward Deployed Full-Stack Engineer
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Job description
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., * 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, Leads client-facing AI engagements by architecting and delivering production-ready full-stack applications. Builds responsive frontends, backend APIs, data pipelines, RAG systems, vector database integrations, and multi-agent workflows. Deploys containerized solutions to cloud platforms, optimizes LLM performance and application reliability, translates business requirements into technical architectures, and owns delivery from scoping through deployment. Also contributes to shared platforms, documents best practices, and collaborates with engineering teams and enterprise stakeholders. Top Skills: AngularSparkAutogenAWSAzureChromaCi/CdCrewaiDockerGitGitGoogle Cloud PlatformHugging FaceJavaScriptKafkaKubernetesLangchainLangfuseLanggraphLitellmMilvusNode.jsNoSQLPandasPineconePostgresPythonPyTorchQdrantRabbitMQReactRedisRetrieval-Augmented Generation (Rag)Semantic KernelSQLTemporalTensorFlowTypescriptVue Kyndryl, Mid level Mid level Artificial Intelligence * Software * Consulting * Generative AI The Full Stack Engineer will develop and maintain scalable web applications, design system architecture, optimize performance, and collaborate with teams for code reviews in a hybrid work environment. Top Skills: .NetAngularAWSAzureAzure DevopsCSSFastapiGithub ActionsHTMLJavaJavaScriptMongoDBMySQLNeo4JNode.jsPHPPostgresPythonReactRubySpringVertxVue
What you need to know about the Colorado Tech Scene
With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.
Key Facts About Colorado Tech
- Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
- Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
- Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
- Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute
Requirements
- 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 & conditions
- Competitive compensation with salary and equity
- Comprehensive health coverage for you and your dependents, including medical, dental, vision, and 401K
- 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, Own end-to-end delivery of complex AI engagements, translating customer challenges into production-ready technical solutions. Build and deploy custom AI applications, including agentic systems and RAG architectures, while optimizing performance, scalability, and reliability. Partner directly with customers, capture field learnings, contribute code and feedback to AI platforms, and communicate technical value to stakeholders. The role requires onsite work in West Palm Beach and travel to customer locations as needed. Top Skills: Agent FrameworkSparkAutogenAWSAzureC#CrewaiGitGitGoogle AiHugging FaceLanggraphNode.jsPandasPythonPyTorchSemantic KernelTensorFlowTypescript AuxoAI
About the company
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.
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