Finance and Operations Manager

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Full-Stack Engineer in Romania.
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.

Requirements

• 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.

Benefits

• 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.

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