Delty (YC X25) Is Hiring

https://news.ycombinator.com/rss Hits: 12
Summary

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 de...

First seen: 2025-12-02 21:55

Last seen: 2025-12-03 08:56