Software Engineer Intern

What You'll Do

• Design and build scalable backend systems for model execution, prompt orchestration, agentic workflows, and real-time inference
• Own infrastructure for core user actions, including API design, job queues, caching, observability, and deployment
• Collaborate across AI research, product, and design to bring new capabilities into production
• Build core primitives for text-to-product creation, such as model pipelines, tool integrations, retrieval flows, and evaluation frameworks
• Continuously improve performance, latency, and stability across inference-heavy systems
• Contribute to a high-trust, high-velocity engineering culture

We're Looking for Engineers Who

• Have strong backend and infrastructure foundations and enjoy building fast, reliable systems
• Have experience owning production systems that interact with real users or real-world data
• Are excited about generative AI and have worked with LLMs, agent frameworks, vector search, or multimodal tools
• Move quickly from prototype to production and thrive in high-agency environments
• Care about product quality and user experience, even when working deep in the stack
• Bring energy, taste, and humility to everything they do

What You Bring

• Currently in school with a background in Computer Science, Engineering, Physics, Mathematics, or a similar field
• Experience building and scaling backend systems in production
• Proficiency with Python and backend frameworks such as Django or FastAPI
• Familiarity with cloud infrastructure tools like GCP, Kubernetes, Docker, and Pub/Sub
• Hands-on experience with LLM pipelines, model orchestration, or prompt tooling in production or personal projects
• Strong debugging, performance tuning, and system design skills
• Bonus: experience at early-stage startups, with generative AI products, or in creative tooling