Full stack software engineer at Delty (X25) $80K - $150K AI staff engineer: software architect that leads coding agents San Francisco, CA, US / Remote Contract US citizenship/visa not required 3+ years About Delty Delty, an AI staff enginer, designs software systems and makes coding agents better. Backed by world-class VCs, built by ex-Googlers. About the role Skills: React, Amazon Web Services (AWS), Prompt Engineering, TypeScript, Machine Learning 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. Technology Full stack web application as well as code review tooling. We deal with GBs of codebases and documents to extract most relevant information and help our users design systems like a staff engineer at Google would.