about us
Delta is creating 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.
Delta was founded by former engineering leaders Google, which includes co-founders with deep experience in YouTube and large-scale infrastructureYou’ll get the chance to work with people who have built large-scale systems on a regular basis – a chance to learn Very And make a meaningful contribution from day one.
We believe in solving hard problems together as a team, iterating rapidly, and building software with long-term thinking and ownership.
What would you do
- do full-stack work: Design and construction of facilities spanning front-end, back-end, data storage, and processing.
- Create new product modules and services from scratch – Or develop existing ones – guided by context-aware system design.
- Work with AI and Machine Learning: Integrate large-language models (LLM), process large or long-format text data, apply traditional ML (e.g. regression, data pipelines), and build tooling around AI-powered flows.
- Take architectural decisions- Choose frameworks, data models, APIs, storage solutions – balancing the trade-offs between performance, scalability, maintainability and complexity.
- Collaborate closely with co-founders And other engineers must translate the product vision into a working, maintainable codebase.
what we are looking for
- At least 3 years of full-stack engineering experienceIncluding substantial work with AI/ML.
- Strong skills in front-end, back-end, database/data storage – and demonstrated ability to design end-to-end systems.
- Experience working with or integrating AI/ML – LLM, data pipelines, long-form text processing, traditional ML 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 the constraints.
- Comfort working in a fast-paced startup-style environment: Agile, Iterative, High Ownership.
- Bonus: Prior startup experience, or even experience being a founder – We value entrepreneurial thinking, self-direction and the willingness to wear many hats.
Why join?
- Learn from experienced Google engineers: As former Google engineers who built systems on YouTube and Google Pay, we’ve worked extensively. Working with us gives you the opportunity to build similar systems and learn best practices, scale thinking, and software design in depth.
- high impact: In a small but ambitious team, your contributions will influence the architecture, product direction, and core features. You’ll have real ownership and see the impact of your work immediately.
- grow fast: We are iterating faster; You will be exposed to the full stack, AI/ML pipelines, systems 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 and robust, scalable enterprise-grade systems. If you enjoy thinking deeply about systems and building reliable, maintainable foundations – this is for you.
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