Full stack software engineer

• Work full-stack: design and build features spanning front-end, back-end, data storage and processing
• Build new product modules and services from scratch — or evolve existing ones — guided by context-aware system design
• Work with AI and machine learning: integrate large-language models (LLMs), process large or long-form text data, apply traditional ML (e.g. regression, data pipelines), and build tooling around AI-driven flows
• Make architectural decisions — choose frameworks, data models, APIs, storage solutions — balancing trade-offs between performance, scalability, maintainability, and complexity
• Collaborate closely with co-founders and other engineers to translate product vision into a working, maintainable codebase

• At least 3 years of full-stack engineering experience, including substantial work with AI/ML
• Strong skills across front-end, back-end, databases/data storage — and demonstrated ability to design end-to-end systems
• Experience working with or integrating AI/ML — LLMs, data pipelines, long-form text processing, traditional ML like regression or statistical modeling
• Good design sense and architectural thinking: you understand trade-offs (scalability vs complexity, speed vs maintainability) and can choose wisely based on constraints
• Comfort working in a fast-paced startup-style environment: nimble, iterative, high ownership

prior startup experience, or even having been a founder — we value entrepreneurial thinking, self-direction, and willingness to wear multiple hats

• Learn from seasoned Google engineers
• High impact
• Grow fast
• Challenging and meaningful work