Senior Backend Engineer
RasaFull Time
Senior (5 to 8 years)
Candidates should possess over 10 years of backend engineering experience, with a proven track record in designing and delivering scalable web services and APIs. Advanced proficiency in designing and implementing RESTful APIs adhering to OpenAPI/Swagger specifications, using modern frameworks like Go's Gin or Echo, or Spring Boot, is required. Deep expertise in service-oriented architecture (SOA), microservices, and distributed systems, along with strong knowledge of scalable database design (relational, NoSQL) and effective use of event-driven architecture, is essential. Extensive experience with cloud-native development and deployment on platforms such as AWS, GCP, or Azure, leveraging tools like Docker, Kubernetes, or serverless frameworks, is necessary. Strong first-principles thinking for complex technical challenges, effective communication, and a collaborative approach are also required. Familiarity with AI/ML concepts, particularly related to video analysis, and experience integrating backend systems with AI/ML models are preferred qualifications.
The Product Backend Engineer will architect scalable APIs and systems to power the AI video platform. Responsibilities include designing and implementing scalable RESTful APIs for features like video search, generation, and embedding, integrated with model inference pipelines. They will architect high-throughput, service-oriented backend systems for enterprise-grade SaaS solutions, leveraging cloud-native tools. The role involves optimizing the performance and reliability of distributed systems processing large-scale video data with low latency and high availability. Collaboration with cross-functional teams, including product managers, frontend engineers, and AI/ML teams, to deliver end-to-end video solutions is key. Applying video-specific technologies such as encoding, transcoding, streaming, and metadata extraction to enhance product capabilities and meet strategic goals will also be part of the role.
AI system for video content understanding
Twelve Labs focuses on artificial intelligence and video understanding by developing a system that analyzes videos to extract key features like actions, objects, and speech. This information is transformed into vector representations, enabling fast semantic search within large video datasets. The company differentiates itself by providing a platform that is faster and more effective than many existing models, allowing developers and product managers to easily integrate its technology through an API. Twelve Labs aims to make all videos searchable, enhancing the way businesses utilize video content.