🚀 About Us

We’re Bolt.new by StackBlitz!

We’re the team behind WebContainers, the groundbreaking technology that made it possible to run Node.js right in your browser. No installs, no setup, just instant dev environments. That innovation kickstarted our journey in 2019 and powers the blazing-fast online IDE used by over a million developers every month.

But we didn’t stop there.

We took everything we learned from building WebContainers and used it to create Bolt.new. The fastest way to go from idea to production without writing traditional code. Think of it as the Canva or Figma for full-stack applications: a next-gen, AI-powered builder that lets you create, edit, and deploy web and mobile apps instantly, right in your browser.

WebContainers make it possible. Bolt.new brings it to life. Together, they reimagine what it means to build software lowering the barrier to entry, speeding up workflows, and unlocking creativity for the next generation of builders.

We’re a globally distributed, fully remote team of passionate engineers, designers, and creatives building the future of software development. If you love shipping fast, solving real problems, and pushing the boundaries of what’s possible we’d love to meet you.

✨ About This Opportunity

A hands-on technical leader who balances coding with leadership. You'll own core platform architecture, code quality, and team growth - spending significant time writing code while developing engineers and coordinating across teams.

🛠️ How You'll Contribute 

Technical Leadership

• Own core platform architecture: WebContainers integration, browser runtime systems, performance optimization, and backend infrastructure
• Write code regularly on complex features, migrations, and architectural improvements
• Review core platform PRs and maintain quality standards across the domain
• Drive technical initiatives and manage technical debt strategically
• Coordinate with other Team Leads on cross-domain architectural decisions

Team Development

• Conduct performance reviews and own career development for core team members
• Hold regular 1:1s to support growth, remove blockers, and provide feedback
• Make hiring decisions and address performance issues proactively
• Build a high-performing, autonomous team culture

Coordination

• Assign team members across features based on skills, capacity, and priorities
• Participate in coordination meetings with other Team Leads
• Regular 1:1s with Head of Engineering to align on priorities and resources
• Run weekly core team meetings for knowledge sharing

AI-Native Development

• Champion AI coding tools and model effective usage
• Build AI-powered core platform features and intelligent runtime capabilities
• Dogfood Bolt.new daily and drive product improvements

💡 Qualifications

Technical

• 10+ years full-stack/systems development, 3+ years leadership
• Strong Node.js, TypeScript, and modern JavaScript ecosystem knowledge
• Expertise in browser APIs, WebAssembly, Web Workers, and browser-based runtime environments
• Experience designing and scaling REST/GraphQL APIs serving millions of requests
• Understanding of distributed systems and cloud infrastructure (AWS, GCP, Cloudflare or Azure)
• Proven ability to optimize backend performance, caching strategies, and database design
• Experience with containerization, virtualization, and sandboxing concepts
• Knowledge of load balancing, rate limiting, and designing for high availability
• Experience with developer tooling, build systems, and runtime optimization
• Track record of architectural decisions balancing speed and maintainability
• Daily user of AI coding assistants (Cursor, Copilot, Claude)
• Experience building AI-integrated applications and platform features

Leadership

• Performance reviews, career development, and difficult conversations
• Growing engineers to senior/staff+ levels
• Hiring backend/platform engineers
• Building remote team culture
• Coaching mindset with balance of individual and business needs

Skills

• Deep understanding of browser internals and web platform capabilities
• Experience designing scalable, performant runtime systems
• Strong architectural thinking for systems handling scale and growth
• Excellent communication with technical and non-technical stakeholders
• Pragmatic mindset: ship MVPs, bias toward action, match quality to business need
• Business thinking: tie technical work to clear outcomes
• Collaborative: knowledge sharing and unblocking others is core work

🎯 Bonus Points

• Experience building developer tools, IDEs, or online code editors
• Open-source contributions to runtime or tooling projects
• Background in distributed systems or cloud infrastructure at scale
• Experience with service workers, IndexedDB, and offline-first architectures
• Experience with Kubernetes, Docker, or other container orchestration platforms
• Knowledge of CDN optimization, edge computing, and global infrastructure

📌 A Few Notes

• You do not need a college degree to apply
• You do not need to be located in the U.S. — we’re remote-friendly
• You do not need to meet every qualification listed above

🚀 About Us

We’re Bolt.new by StackBlitz!

We’re the team that brought you WebContainers, the first-of-its-kind technology that made it possible to run Node.js right inside your browser. That breakthrough kicked off our journey in 2019, and it’s what powers the blazing-fast online IDE used by over 1 million developers every month.

But we didn’t stop there. We doubled down on everything we learned and built Bolt.new — the fastest way to go from idea to production without writing traditional code. It’s a next-gen, AI-powered app builder that helps you create, edit, and deploy full-stack web and mobile apps instantly, right in your browser. No installs. No setup. Just smart automation and instant dev environments that let you move at the speed of thought.

We’re a fully remote team, globally distributed, deeply collaborative, and seriously passionate about building the future of software development.

This is your chance to join a small team with a big vision. If you love shipping fast, solving real problems, and pushing the boundaries of what’s possible, we’d love to meet you.

✨ About This Opportunity

Join us on the forefront of AI-powered development as we revolutionize how software gets built. As a Senior Applied Engineer, you will be the driving force behind our AI agents that transform natural language into production ready applications. You will work with state-of-the art LLMs, pioneering new ways to make AI understand, reason about, and generate complex full-stack applications. This isn’t just about integrating APIs, instead it’s about pushing the boundaries of what AI can do to empower our users to build stunning apps. As part of this role, you will work in an interesting problem space and tackle challenges like maintaining context across large codebases, orchestrating multi-step workflows that feel intuitive to users, and making sure our AI agents can handle everything from simple UI changes to complex architectural decisions. Your work will directly impact how millions of users bring their ideas to life.

This is a unique opportunity to shape the future of AI-assisted development in a fully remote, globally distributed team that ships fast and thinks big. If you are passionate about making AI more capable, reliable, and accessible to builders everywhere, this role offers the perfect opportunity to innovate and see your work deployed at scale.

🛠️ How You'll Contribute 

• Develop AI Agents: Design and implement AI agent features and extend existing agents with new capabilities. This includes managing the agent’s context (using techniques like sub-agents, retrieval based context management, sliding context windows, etc.) so it can handle long conversations or large knowledge and code bases efficiently.
• Integrate Multiple LLM Providers: Leverage models from providers such as OpenAI (GPT series), Anthropic (Claude), and Google (Gemini). Quantitatively evaluate and choose the best model for a given task, and incorporate new model features or improvements (often by beta-testing new releases and assessing their strengths).
• Tool Use and Workflow Orchestration: Enable the AI agent to call external tools and APIs safely and effectively. Implement structured approaches to allow the agent to perform actions like web searches, database queries, fetch additional information, or other domain-specific operations. Utilize frameworks such as Vercel’s AI SDK, LangGraph and others for building multi-step AI workflows.
• Team Collaboration: Work closely with your immediate team and adjacent teams to deliver AI-powered features. Collaborate effectively with peer engineers and product managers to ensure AI-driven features are production-ready, efficient, maintainable, and well-monitored in deployment. Share knowledge and help lift up mid-level and junior engineers on the team.
• Data Collection and Analysis: Collect and curate datasets from agent responses and multi-turn conversations to understand agent behavior. Analyze conversation patterns, failure modes, and success signals to derive actionable insights that drive improvements to agent performance and user experience.
• Continuous Improvement and Evaluation: Stay up-to-date with the latest research in NLP and LLMs, and experiment with novel techniques (e.g. new prompting strategies, context handling methods, model fine-tuning opportunities). Continuously evaluate the AI system’s performance using systematic tests and user feedback, and iterate on prompts, agents and workflows to improve output quality and reliability (for example, by developing automated LLM evaluation benchmarks).

💡 Qualifications

• TypeScript: Familiarity with TypeScript is important. Our entire stack is built on it. Willingness to work in TS daily is key.
• LLM Experience: Hands-on experience working with Large Language Models (LLMs) and understanding their capabilities and limitations. Proven experience building applications or systems powered by LLMs.
• Prompt Engineering: Deep understanding of prompt engineering best practices to guide LLM behavior. Able to craft, refine, and optimize prompts for different tasks and models.
• Software Engineering Skills: Solid software engineering fundamentals with experience in building production-ready systems.
• Autonomous Execution: Ability to deliver high-quality work with minimal oversight. Comfortable owning tasks end-to-end, managing complexity, and driving projects to completion within your functional area.
• Problem-Solving: Strong analytical and problem-solving skills with the ability to debug complex AI behaviors and bring clarity to ambiguous tasks.
• Data-Driven Mindset: Comfortable collecting, curating, and analyzing data to inform decisions. Able to build datasets, identify patterns in agent behavior, and translate findings into actionable improvements.
• Strong verbal and written English communication skills are required, as this role involves frequent collaboration with team members, stakeholders, and customers where English is the primary working language.

🎯 Bonus Points 

• DSPy Framework: Familiarity with DSPy (Declarative Self-improving Python) for building modular AI systems and optimizing prompts programmatically.
• Machine Learning Background: Understanding of ML fundamentals and experience with model evaluation metrics.
• Open Source Contributions: Experience contributing to or maintaining open-source AI/ML projects.
• Research Background: Experience reading and implementing techniques from AI/ML research papers.

📌 A Few Notes

• You do not need a college degree to apply

• You do not need to be located in the U.S. — we’re remote-friendly

• You do not need to meet every qualification listed above
  
  

🚀 About Us

We’re Bolt.new by StackBlitz!

We’re the team behind WebContainers, the groundbreaking technology that made it possible to run Node.js right in your browser. No installs, no setup, just instant dev environments. That innovation kickstarted our journey in 2019 and powers the blazing-fast online IDE used by over a million developers every month.

But we didn’t stop there.

We took everything we learned from building WebContainers and used it to create Bolt.new. The fastest way to go from idea to production without writing traditional code. Think of it as the Canva or Figma for full-stack applications: a next-gen, AI-powered builder that lets you create, edit, and deploy web and mobile apps instantly, right in your browser.

WebContainers make it possible. Bolt.new brings it to life. Together, they reimagine what it means to build software lowering the barrier to entry, speeding up workflows, and unlocking creativity for the next generation of builders.

We’re a globally distributed, fully remote team of passionate engineers, designers, and creatives building the future of software development. If you love shipping fast, solving real problems, and pushing the boundaries of what’s possible we’d love to meet you.

✨ About This Opportunity

A hands-on technical leader who balances coding with leadership. You'll own frontend architecture, code quality, and team growth - spending significant time writing code while developing engineers and coordinating across teams.

🛠️ How You'll Contribute 

Technical Leadership

• Own UI architecture: component patterns, state management, performance, and frontend infrastructure
• Write code regularly on complex features, migrations, and architectural improvements
• Review all UI PRs and maintain quality standards across the domain
• Drive technical initiatives and manage technical debt strategically
• Coordinate with other Team Leads on cross-domain architectural decisions

Team Development

• Conduct performance reviews and own career development for UI team members
• Hold regular 1:1s to support growth, remove blockers, and provide feedback
• Make hiring decisions and address performance issues proactively
• Build a high-performing, autonomous team culture

Coordination

• Assign team members across features based on skills, capacity, and priorities
• Participate in coordination meetings with other Team Leads
• Regular 1:1s with Head of Engineering to align on priorities and resources
• Run weekly UI team meetings for knowledge sharing

AI-Native Development

• Champion AI coding tools and model effective usage
• Build AI-powered UI features and agent interaction patterns
• Dogfood Bolt.new daily and drive product improvements

💡 Qualifications

Technical

• 10+ years frontend development, 3+ years leadership
• Expert in React, TypeScript, and modern frontend architecture
• Strong HTML, CSS (Tailwind), performance optimization
• Experience with design systems, state management, and complex UI flows
• Track record of architectural decisions balancing speed and maintainability
• Daily user of AI coding assistants (Cursor, Copilot, Claude)
• Experience building AI-integrated applications and interfaces

Leadership

• Performance reviews, career development, and difficult conversations
• Growing engineers to senior/staff+ levels
• Hiring frontend engineers
• Building remote team culture
• Coaching mindset with balance of individual and business needs

Skills

• Strong UX sensibilities and eye for detail (spacing, typography, animations)
• Experience with Figma/Sketch and translating designs to pixel-perfect interfaces
• Excellent communication with technical and non-technical stakeholders
• Pragmatic mindset: ship MVPs, bias toward action, match quality to business need
• Business thinking: tie technical work to clear outcomes
• Collaborative: knowledge sharing and unblocking others is core work

🎯 Bonus Points 

• Web Workers, Web Components, Remix, browser dev environments
• Developer tooling or design tools experience
• Design engineering background
• Open-source contributions to UI libraries
• WebAssembly or advanced browser APIs

📌 A Few Notes

• You do not need a college degree to apply
• You do not need to be located in the U.S. — we’re remote-friendly
• You do not need to meet every qualification listed above

🚀 About Us

We’re Bolt.new by StackBlitz!

We're the team behind WebContainers, the groundbreaking technology that made it possible to run Node.js right in your browser. No installs, no setup, just instant dev environments. That innovation kickstarted our journey in 2019 and powers the blazing-fast online IDE used by over a million developers every month.

But we didn't stop there.

We took everything we learned from building WebContainers and used it to create Bolt.new. The fastest way to go from idea to production without writing traditional code. Think of it as the Canva or Figma for full-stack applications: a next-gen, AI-powered builder that lets you create, edit, and deploy web and mobile apps instantly, right in your browser.

WebContainers make it possible. Bolt.new brings it to life. Together, they reimagine what it means to build software lowering the barrier to entry, speeding up workflows, and unlocking creativity for the next generation of builders.

We're a globally distributed, fully remote team of passionate engineers, designers, and creatives building the future of software development. If you love shipping fast, solving real problems, and pushing the boundaries of what's possible we'd love to meet you.

✨ About This Opportunity

You'll lead the technical direction of the AI agents that turn natural language into production-ready applications. This means shaping how we work with LLMs to solve our hardest problems: maintaining context across large codebases, orchestrating multi-step workflows that feel intuitive, and handling everything from simple UI tweaks to complex architectural decisions.

This isn't API integration work. You'll define the patterns and systems that govern how AI reasons about and generates full-stack applications, driving initiatives that span multiple teams and influence our broader AI strategy. Your work shapes the experience of millions of users building real products with Bolt every day.

🛠️ How You'll Contribute 

• Define AI Agent Architecture: Lead the design and evolution of our AI agent systems, establishing patterns, frameworks, and standards that teams across the organization adopt. Own the technical vision for how agents manage context, orchestrate workflows, and scale to handle increasingly complex user needs.
• Drive Multi-Provider Strategy: Shape our approach to leveraging models from providers such as OpenAI (GPT series), Anthropic (Claude), and Google (Gemini). Establish evaluation frameworks and selection criteria that teams use to choose the right model for a given task. Build relationships with provider teams to influence roadmaps and beta-test new capabilities.
• Architect Tool Use and Workflow Systems: Design the foundational systems that enable AI agents to call external tools and APIs safely and effectively. Define the abstractions and interfaces that allow the agent to perform actions like web searches, database queries, and domain-specific operations. Evaluate and recommend frameworks such as Vercel's AI SDK, LangGraph, and others, establishing best practices for the organization.
• Cross-Team Leadership: Partner with teams across engineering, product, and design to align AI initiatives with business objectives. Influence roadmaps, resolve technical disagreements, and ensure AI-driven features are architected for long-term maintainability and performance. Mentor senior and mid-level engineers, raising the bar for AI engineering practices across the organization.
• Establish Data and Evaluation Standards: Define the methodology for collecting, curating, and analyzing datasets from agent responses and multi-turn conversations. Build and steward the evaluation harness, ensuring evals directly support business objectives and KPIs. Turn insights from conversation patterns, failure modes, and success signals into systematic improvements.
• Drive Research and Innovation: Stay at the forefront of NLP and LLM research, identifying and championing novel techniques that provide competitive advantage. Lead experimentation with new prompting strategies, context handling methods, and fine-tuning opportunities. Represent StackBlitz in external forums, conferences, and community discussions where appropriate.

💡 Qualifications

• TypeScript: Familiarity with TypeScript is important. Our entire stack is built on it. Willingness to work in TS daily is key.
• Deep LLM Experience: Extensive hands-on experience working with Large Language Models (LLMs), with a nuanced understanding of their capabilities, limitations, and emergent behaviors. Proven track record of building and scaling production AI systems.
• Prompt Engineering: Deep expertise in prompt engineering with the ability to establish best practices and mentor others. Skilled at crafting, refining, and optimizing prompts across different tasks, models, and use cases.
• Software Engineering Excellence: Strong software engineering fundamentals with experience designing systems that scale. Able to make architectural decisions that balance immediate needs with long-term maintainability.
• Strategic Execution: Ability to take ambiguous, high-scope problems and drive them to completion with minimal oversight. Comfortable influencing direction across teams and navigating complex technical and organizational challenges.
• Systems Thinking: Ability to identify process, communication, and technical debt across the organization and propose solutions that accelerate velocity for multiple teams.
• Data-Driven Leadership: Experienced in establishing data collection and analysis practices. Able to build evaluation frameworks, identify patterns in agent behavior, and translate findings into organizational improvements.
• Strong verbal and written English communication skills are required, as this role involves frequent collaboration with team members, stakeholders, customers, and potentially external audiences where English is the primary working language.

🎯 Bonus Points 

• DSPy Framework: Familiarity with DSPy (Declarative Self-improving Python) for building modular AI systems and optimizing prompts programmatically.
• Machine Learning Background: Understanding of ML fundamentals and experience with model evaluation metrics.
• Open Source Contributions: Experience contributing to or maintaining open-source AI/ML projects.
• Research Background: Experience reading and implementing techniques from AI/ML research papers.
• Experience speaking at conferences, publishing technical content, or representing an organization in industry forums.

📌 A Few Notes

• You do not need a college degree to apply

• You do not need to be located in the U.S. — we’re remote-friendly

• You do not need to meet every qualification listed above