KR Software Engineer Backend

Who We Are:

At Twelve Labs we are pioneering the development of cuttingedge multimodal foundation models that have the ability to comprehend videos just like humans do. Our models have redefined the standards in videolanguage modeling empowering us with more intuitive and farreaching capabilities and fundamentally transforming the way we interact with and analyze various forms of media.

With a remarkable $107 million in Seed and Series A funding our company is backed by toptier venture capital firms such as NVIDIAs NVentures NEA Radical Ventures and Index Ventures and prominent AI visionaries and founders such as FeiFei Li Silvio Savarese Alexandr Wang and more. Headquartered in San Francisco with an influential APAC presence in Seoul our global footprint underscores our commitment to driving worldwide innovation.

We are a global company that values the uniqueness of each persons journey. It is the differences in our cultural educational and life experiences that allow us to constantly challenge the status quo. We are looking for individuals who are motivated by our mission and eager to make an impact as we push the bounds of technology to transform the world. Join us as we revolutionize video understanding and multimodal AI.

About the Role

As a Senior Product Backend Engineer at Twelve Labs youll architect scalable APIs and systems to power our AI video platform. Youll collaborate with crossfunctional teams to integrate video foundation models optimizing for performance and adaptability in a dynamic startup environment.

In this role you will

• Design and implement scalable RESTful APIs adhering to OpenAPI specifications powering features like video search generation and embedding integrated with model inference pipelines.

• Architect highthroughput serviceoriented backend systems to support enterprisegrade SaaS solutions for diverse customers leveraging cloudnative tools (e.g. AWS GCP Azure).

• Optimize performance and reliability of distributed systems processing largescale video data with low latency and high availability.

• Collaborate with crossfunctional teams (product managers frontend engineers AI/ML teams) to deliver endtoend video solutions.

• Apply videospecific technologies (e.g. encoding transcoding streaming metadata extraction) to enhance product capabilities and meet strategic goals.

You may be a good fit if you have:

• Experience: 5 years of backend engineering experience with a proven track record of designing and delivering scalable web services and APIs.

• API Expertise: Advanced proficiency in designing and implementing RESTful APIs adhering to OpenAPI/Swagger specifications with experience in modern frameworks (e.g. Gos Gin or Echo Spring Boot or similar).

• Technical Expertise: Deep expertise in serviceoriented architecture (SOA) microservices and distributed systems with strong knowledge of scalable database design (e.g. relational NoSQL) and effective use of eventdriven architecture.

• Cloud Proficiency: Extensive experience with cloudnative development and deployment on platforms like AWS GCP or Azure leveraging tools such as Docker Kubernetes or serverless frameworks to ensure scalability and resilience.

• Analytical & Collaborative Skills: Strong firstprinciples thinking to address complex technical challenges combined with effective communication skills and a collaborative approach to working with crossfunctional teams.

Preferred Qualifications:

• AI/ML Familiarity: Strong understanding of AI/ML concepts particularly related to video analysis (e.g. object detection motion tracking or video summarization) and experience integrating backend systems with AI models or data pipelines.

• Video Technology Experience: Handson knowledge of videospecific tools and frameworks (e.g. FFmpeg AWS Media Services) to support video processing workflows.

• Startup Agility: Experience thriving in fastpaced startup environments with a demonstrated ability to adapt quickly and deliver results with agility

• Go Proficiency: Proficiency with Go (Golang) and its ecosystem aligning with team preferences.

• DevOps Practices: Exposure to CI/CD pipelines and observability tools (e.g. Prometheus Grafana) for building and monitoring scalable systems.

Location:Seoul South Korea

How to Apply Ready to join us Submit your application through our careers page at twelvelabs/careers. Were excited to meet you!

Benefits and Perks (Korea)

• An open and inclusive culture and work environment.

• Work closely with a collaborative missiondriven team on cuttingedge AI technology.

• Extremely flexible PTO and parental leave policy. Office closed the week of Christmas and New Years.

• Hybrid work with meal support and a coworking stipend.