Full-Stack Engineer
Join Fundamental as a Full-Stack Engineer to tackle technical challenges in enterprise AI decision-making.
Posted by employer 8 months ago
First seen on Joblaze 1 month ago
Last verified on the company career page 1 day ago
AI in the day-to-day
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Requirements
- Experience
- 5+ years
Not disclosed in this posting: compensation, work arrangement, visa sponsorship.
Benefits
Joblaze summary
In the role of Full-Stack Engineer at Fundamental, the individual will develop both front-end and back-end systems to enhance user interaction with advanced AI models. Key skills include strong Python expertise, particularly with FastAPI, and experience with modern frameworks like React or Vue, alongside a solid understanding of event-driven architectures. This position is ideal for seasoned engineers with over five years of experience who are comfortable navigating complex technical challenges in a fast-paced, innovative environment.
Joblaze insights
- Listed about a month ago — first seen on Joblaze September 3, 2026. Last confirmed on Fundamental's careers page October 27, 2026.
- React appears in 63.4% of 421 comparable senior fullstack roles; Databricks appears in 0.2% of 421 comparable senior fullstack roles.
Quick facts
- How much experience is required?
- At least 5 years of relevant experience for this Full-Stack Engineer role.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: Angular, Celery, Databricks, FastAPI, Python, React.
- What seniority level is this role?
- Fundamental targets senior candidates for this position.
- Is this full-time or contract?
- Full-time for this Full-Stack Engineer role at Fundamental.
From the original posting
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
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