about us

Delty is building the world’s first “AI-powered staff engineer.” Unlike typical code generation tools, Delty is trained on the team’s code base, documentation, and system history – giving it a system-level understanding of architecture, conventions, and constraints. Delty helps engineering teams design enterprise-level 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 in YouTube and large-scale infrastructure. You’ll be able to work alongside people who have built huge systems at scale – an opportunity to learn a lot And contribute meaningfully from day one.

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

What will you do?

• Working at full capacity: Design and construction features covering front-end, back-end, data storage and processing.
• Build new product modules and services from scratch – Or develop existing systems – guided by context-aware system design.
• Working with artificial intelligence and machine learning: Integrating large language models (LLMs), processing large or long text data, applying traditional machine learning (e.g. regression, data pipelines), and building tools around AI-driven pipelines.
• Architectural decision making – Choose frameworks, data models, APIs, and storage solutions – balancing the trade-offs between performance, scalability, maintainability, and complexity.
• Collaborate closely with co-founders and other engineers to translate the product vision into a working, maintainable code base.

What we are looking for

• At least 3 years of full engineering experienceincluding substantive work with artificial intelligence/machine learning.
• Strong skills across front-end, back-end and database/data warehousing – Demonstrated ability to design comprehensive systems.
• Experience working with or integrating AI/ML – Master in law, data pipelines, long text processing, and traditional machine learning such as regression or statistical modeling.
• Good design sense and architectural thinking: You understand the trade-offs (scalability vs. complexity, speed vs. maintainability) and can choose wisely based on constraints.
• Comfortable working in a fast-paced startup style environment: Intelligent, repetitive, highly possessive.
• Bonus: Previous startup experience, or even being a founder -We value entrepreneurial thinking, self-direction, and a willingness to wear multiple hats.

Why join?

• Learn from experienced Google engineers: As former Google engineers who built systems at YouTube and Google Pay, we’ve worked extensively. Working alongside us gives you the opportunity to build similar systems, learn best practices, and extend your software thinking and design in depth.
• High impact: On a small but ambitious team, your contributions will influence design, product direction, and core features. You will have real ownership and see the effects of your work quickly.
• Growing fast:We repeat quickly; You’ll learn about the full stack and 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: connecting AI-generated prototypes to robust, scalable, enterprise-grade systems. If you enjoy thinking deeply about systems and building reliable, maintainable foundations, this is for you.