Senior Software Engineer, AI
BubbleAbout the role
We built Bubble with a clear mission in mind: to empower everyone to create software. We believe anyone with an idea should be able to build it, so we’re making software creation accessible to everyone. Our AI visual development platform enables anyone, whether they’re first-time entrepreneurs or enterprise teams, to take an idea from prompt to fully-functional, scalable reality across web, iOS, and Android — all on one platform, all without writing or managing a single line of code.
As the only full-stack, cross-device no-code platform on the market with over 5 million users in over 100 countries, Bubble is breaking down the barriers to entrepreneurship and innovation across the globe.
What we’ve achieved:
Our product is working, and we are thriving. Entire VC-backed companies have been built entirely on Bubble. After finding product market fit and 8 years of bootstrapping, we raised a $100 million Series A and we’re one of the fastest-growing companies in the New York tech ecosystem.
You can build just about anything on Bubble - and our community is living proof. More than just launching products, people are turning their ideas into real businesses. Mailead grew a $10k investment in a Bubble product into a $2M valuation, while Faceless.video went from 0 to $1M+ ARR in less than a year, among many other examples.
About the Team:
We are expanding our AI Engineering Team to build next-generation AI-powered development workflows. Our goal is to enable AI-assisted full-stack development, allowing users to describe their applications in natural language and have AI generate, modify, and enhance their apps seamlessly. As a Senior AI Software Engineer, you will help define and build the future of AI-powered development at Bubble. You’ll work on LLM-driven product features, design agentic workflows, and develop private models trained on proprietary Bubble datasets. You will collaborate closely with product, infrastructure, and research teams to push the limits of AI-driven development.
In This Role You'll:
Drive the design and implementation of AI-powered products and features that integrate with the Bubble Editor, elevating and evolving how users build with AI.
Iterate across the stack to make AI UX intuitive build intuitive and powerful UX for AI features, improve the latency and accuracy of our agent and RAG pipelines, and enhance how the system understands and manipulates Bubble’s proprietary application representation.
Build frameworks for evaluating agent performance to power both product strategy and engineering innovation.
Translate ambiguous AI challenges into actionable engineering plans, leveraging emergent technologies and experimentation
Shape the direction of AI initiatives in partnership with product, engineering, and design teams to advance the platform’s capabilities
About You:
5+ years of experience as a software engineer, preferably in backend systems at high-growth startups, with AI/ML experience a plus
Strong coding skills with Typescript, Python, or other AI-relevant languages.
Prior experience with agentic AI workflows and chatbot-style LLM interactions is a plus
Excellent communication skills and a collaborative mindset.
Ability to thrive in fast-paced environments with high impact and uncertainty
Alignment with our values: a desire to empower others, a focus on team and user success, and a willingness to experiment and learn from failures.
Our Tech Stack:
Frontend: Typescript, SolidJS
Backend: Typescript, Node.js
AI/ML: Python, LLM APIs (OpenAI, Anthropic, etc.), LangChain
Infrastructure: AWS, CDK / Terraform, ECS, Redis, Postgres
Data & AI Workflows: JSON-based app representations, proprietary datasets
Compensation:
We offer competitive compensation aligned to tier one markets. Our estimated salary for this role at Bubble ranges from $183,000 to $237,000. Actual pay is determined by multiple factors such as skills, qualifications, experience and market demand.
Location:
For this role, Bubble is currently only considering candidates who are authorized to work in the US and are within the New York City metro area.
We pre
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