This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Full-Stack Engineer in Netherlands.
You will join a cutting-edge AI engineering environment focused on building systems that power enterprise-scale decision-making through advanced machine learning models. In this role, you will work across the full technology stack, developing both backend services and user-facing applications that enable seamless interaction with large-scale AI systems. You will contribute to the design of scalable architectures, high-performance APIs, and intuitive interfaces that allow users to upload, manage, and analyze structured data. The environment is highly technical and research-driven, requiring strong collaboration with MLOps, DevOps, and AI engineering teams. You will help build event-driven, distributed systems capable of handling large datasets and complex inference workflows. This is a high-impact opportunity to work on foundational AI infrastructure that supports decision-making for global enterprises.
Accountabilities
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Why Apply Through Jobgether?
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
You will join a cutting-edge AI engineering environment focused on building systems that power enterprise-scale decision-making through advanced machine learning models. In this role, you will work across the full technology stack, developing both backend services and user-facing applications that enable seamless interaction with large-scale AI systems. You will contribute to the design of scalable architectures, high-performance APIs, and intuitive interfaces that allow users to upload, manage, and analyze structured data. The environment is highly technical and research-driven, requiring strong collaboration with MLOps, DevOps, and AI engineering teams. You will help build event-driven, distributed systems capable of handling large datasets and complex inference workflows. This is a high-impact opportunity to work on foundational AI infrastructure that supports decision-making for global enterprises.
Accountabilities
- Design and build full-stack applications that enable interaction with large-scale AI models, including both backend services and frontend interfaces.
- Develop high-performance backend APIs and services for model inference, including batching systems and optimized data processing pipelines.
- Create responsive and user-friendly frontend interfaces using modern frameworks such as React, Vue, or Angular.
- Implement state management and session persistence mechanisms to ensure consistent user experiences across complex workflows.
- Design and maintain event-driven architectures using pub/sub messaging systems to support asynchronous processing and scalability.
- Build and integrate database connectivity layers, including connections to cloud data platforms such as Snowflake and Databricks.
- Implement robust error handling, monitoring, and retry mechanisms to ensure system reliability and operational stability.
- Collaborate closely with MLOps and DevOps teams to optimize system architecture, deployment processes, and performance at scale.
- 5+ years of professional experience in full-stack engineering roles within production environments.
- Strong proficiency in Python, with hands-on experience using FastAPI and ASGI-based frameworks for high-performance API development.
- Experience building full-stack applications using modern frontend frameworks such as React, Vue, or Angular.
- Strong understanding of event-driven architectures, pub/sub systems, and distributed task queues such as Celery.
- Experience with model serving patterns, including REST, gRPC, and asynchronous batching for large-scale inference workflows.
- Solid knowledge of SQL and NoSQL databases, as well as integration with cloud data platforms like Snowflake and Databricks.
- Experience implementing state management, session handling, and efficient data flow in distributed applications.
- Strong ability to deliver high-quality, maintainable frontend code while collaborating closely with product and design teams.
- Excellent problem-solving skills and ability to work in complex, fast-paced technical environments.
- Competitive compensation package including salary and equity.
- Comprehensive health coverage for you and your dependents.
- Paid parental leave supporting all family-building journeys.
- Relocation support for candidates joining office locations.
- Mission-driven, low-ego culture focused on ownership and execution excellence.
- Opportunity to work on cutting-edge AI systems shaping enterprise decision-making.
- Exposure to advanced distributed systems, ML infrastructure, and large-scale data workflows.
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Why Apply Through Jobgether?
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.