Senior Software Engineer, Bubble
AI/LLM
$157-213k
Offers Equity
More information about location
AI app builder
Open for applications
AI app builder
501-1000 employees
Open for applications
$157-213k
Offers Equity
More information about location
501-1000 employees
Company mission
To let anyone build powerful web and mobile apps visually, without code.
Role
Who you are
- Master’s or PhD in AI, ML, NLP, or a related field, and 2+ years of industry experience working with LLMs, AI model optimization, and NLP pipelines
- OR 5+ years of industry experience as a Machine Learning or Software Engineer
- Strong experience with transformer models, retrieval-augmented generation (RAG), and dataset curation
- Experience with agentic AI workflows and chatbot-style LLM interactions
- Understanding of embeddings, vector search, and AI model evaluation
- Proficient in relevant languages and tools like Python, Typescript, Hugging Face, LangChain, and Mastra
- Excellent communication skills and a collaborative mindset
- 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
What the job involves
- As a ML Research & Implementation 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
- Improve LLM reasoning & retrieval techniques to enhance Bubble’s AI-powered development tools
- Design and build agentic workflows to enable multi-step AI-driven app generation
- Fine-tune & optimize LLMs for AI-assisted app-building workflows
- Build and optimize proprietary AI models trained on domain-specific datasets
- Work closely with the AI team to scale AI research into production
- Optimize LLM performance and accuracy when interpreting and modifying applications
- 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
Our take
More people than ever are interested in starting a digital product business such as a SaaS, social network or marketplace, but getting started is tough. Creating tangible proof-of-concept products generally requires software development skills, and without experience in coding, this usually results in expensive programmer hires.
Bubble provides a no-code software development platform, allowing its users to build SaaS apps, dashboards, CRMs, marketplaces, social networks, and other web or mobile-based software applications without coding experience. The platform allows users to navigate prototyping, launch, collaborative iterative development, and unlimited scaling through simple drag-and-drop interfaces, allowing anyone to develop software without the need for programming experience.
No-code software development startups have been growing in popularity and this undeniably presents significant competition for Bubble, but their all-in-one approach to design, functionality, and management gives them a cutting edge over similar niche-focussed alternatives. The company claims that through its platform, businesses can launch and develop products at a much faster rate due to increased accessibility to software development, without the need for expensive hires and infrastructure.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
38% employee growth in 12 months
Company
Funding (last 2 of 3 rounds)
Jul 2021
$100m
SERIES A
Jun 2019
$6m
EARLY VC
Total funding: $106.4m
Company benefits
- Company equity
- Generous PTO
- Health, dental, and vision
- Paid parental leave
- Sabbatical program
- 401(k) matching
- Wellness and work stipend
- Bi-annual team retreats
- In-office lunches
- Flexible-first hybrid work
Company HQ
Flatiron District, New York, NY
Leadership
Emmanuеl Straschnοv
(Co-Founder & Co-CEO)Experience as CEO Assistant for Prada. Consultant for Roland Berger Strategy Consultants from 2007 to 2010.
Josh Haas
(Co-Founder & Co-CEO)Management Associate for Bridgewater Associates from 2007 to 2010. Experience as Co-founder and CTO of KeywordSmart.
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