About Us

Delty is building the world’s first “AI Staff Engineer.” Unlike typical code-generation tools, Delty is trained on a team’s codebase, documentation, and system history — giving it a system-level understanding of architecture, conventions, and constraints. Delty helps engineering teams design enterprise-scale software systems, make architectural decisions, and enable AI coding agents to work with real system context.

Delty was founded by former engineering leaders from Google, including co-founders with deep experience at YouTube and in large-scale infrastructure. You’ll get to work alongside people who built massive systems at scale — a chance to learn a lot and contribute meaningfully from day one.

We believe in solving hard problems together as a team, iterating quickly, and building software with long-term thinking and ownership.

What You’ll Do

• 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.

What We’re Looking For

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

Why join

• Learn from seasoned Google engineers: As former Google engineers who built systems at YouTube and Google Pay, we’ve operated at massive scale. Working alongside us gives you a chance to build similar systems and learn best practices, scale thinking, and software design deeply.
• High impact: At a small but ambitious team, your contributions will influence architecture, product direction, and core features. You will have real ownership and see the effects of your work quickly.
• Grow fast: We’re iterating rapidly; you’ll be exposed to the full stack, AI/ML pipelines, system architecture, data modeling, and product-level decisions — a fast-track to becoming a senior engineer or technical lead.
• Challenging and meaningful work: We’re tackling the hardest part of software engineering: bridging AI-generated prototypes and robust, scalable enterprise-grade systems. If you enjoy thinking deeply about systems and building reliable, maintainable foundations — this is for you.