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Full-Stack Engineer
Fundamental · United States
Pay
$95k–220k
Setting
Remote
ABOUT FUNDAMENTAL
Fundamental is an AI company pioneering the future of enterprise decision-making. Founded by DeepMind alumni, Fundamental has developed NEXUS – the world's most powerful Large Tabular Model (LTM) – purpose-built for the structured records that actually drive enterprise decisions. Backed by world class investors and trusted by Fortune 100 companies, Fundamental unlocks trillions of dollars of value by 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
- 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
BENEFITS
- Competitive compensation with salary and equity
- Comprehensive health coverage for you and your dependents
- 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
Listed by Fundamental for a position based in the United States. Employers on this board attest they are hiring domestically.
DevOps Engineer
Fundamental · United States
Pay
$105k–180k
Setting
Remote
ABOUT FUNDAMENTAL
Fundamental is an AI company pioneering the future of enterprise decision-making. Founded by DeepMind alumni, Fundamental has developed NEXUS – the world's most powerful Large Tabular Model (LTM) – purpose-built for the structured records that actually drive enterprise decisions. Backed by world class investors and trusted by Fortune 100 companies, Fundamental unlocks trillions of dollars of value by 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
- Design and implement cloud infrastructure from the ground up
- Build and maintain Kubernetes clusters optimized for GPU workloads and ML applications, as well as Production SaaS hosting
- Implement GitOps practices using ArgoCD for continuous deployment
- Develop infrastructure as code using Terraform
- Create and maintain CI/CD pipelines for infrastructure and application deployment
- Implement monitoring and observability solutions for distributed systems
- Automate infrastructure management with Python and Bash
- Collaborate with ML engineers to optimize infrastructure for model training and serving
- Implement and maintain cost optimization strategies (FinOps) for cloud resources
- Monitor and optimize cloud spending, especially for GPU-intensive workloads
MUST HAVE
- 5+ years of experience in cloud infrastructure and DevOps
- 3+ years of experience with Python
- Strong experience with AWS and GCP cloud platforms
- Deep expertise in Kubernetes, including multi-cluster management, GPU workload optimization, resource scheduling and autoscaling, and network policies and security
- Experience with GitOps tools (ArgoCD preferred)
- Extensive experience with cloud networking, including VPC design, load balancer configuration, network security and segmentation, and cross-cloud networking solutions
- Strong CI/CD expertise, preferably with GitHub Actions
- Proficiency in infrastructure as code (Terraform)
- Experience with monitoring and observability tools
- Experience with FinOps practices and cloud cost optimization
NICE TO HAVE
- Experience with ML workflow tooling (MLflow, Kubeflow, or similar)
- Experience with FastAPI and Backend applications
- Familiarity with data platforms like Databricks or Snowflake
- Exposure to SRE practices or cloud security certifications
- Hands-on experience with Prometheus, Grafana, or Datadog
BENEFITS
- Competitive compensation with salary and equity
- Comprehensive health coverage for you and your dependents
- 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
Listed by Fundamental for a position based in the United States. Employers on this board attest they are hiring domestically.
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