Staff Applied AI Engineer
StackBlitz · Remote
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h4 data-start= 233 data-end= 248 🚀 About Us /h4
p data-start= 250 data-end= 267 We’re Bolt.new by StackBlitz! /p
p data-start= 269 data-end= 558 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. /p
p data-start= 560 data-end= 1013 But we didn’t stop there. /p
p data-start= 560 data-end= 1013 We doubled down on everything we learned and built a class= href= https://bolt.new target= _new data-start= 637 data-end= 669 strong data-start= 638 data-end= 650 Bolt.new /strong /a — 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. /p
p data-start= 1015 data-end= 1161 We’re a fully remote team, globally distributed, deeply collaborative, and seriously passionate about building the future of software development. /p
p data-start= 1163 data-end= 1342 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. /p
h4 data-start= 1349 data-end= 1377 ✨ About This Opportunity /h4
p As a Staff Engineer on the AI team, 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. /p
p 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 across multiple teams and influencing our broader AI strategy. Your work shapes the experience of millions of users building real products with Bolt every day. /p
h4 data-start= 1545 data-end= 1567 🛠️ How You'll Contribute /h4
ul
li span class= notion-enable-hover data-token-index= 0 strong Define AI Agent Architecture: /strong /span Set technical direction for how agents manage context, orchestrate workflows, and scale. /li
li strong Lead multi-model strategy: /strong Build evals and selection criteria across providers (OpenAI, Anthropic, Google); partner with provider teams to test new capabilities. /li
li strong Build tool-use workflow foundations: /strong Design safe, reliable interfaces for tool calling (search, queries, domain actions); evaluate frameworks (e.g., Vercel AI SDK, LangGraph) and set org best practices. /li
li strong Drive cross-team execution: /strong Align product/design/engineering, resolve tradeoffs, and mentor engineers to raise AI engineering standards. /li
li strong Establish data evaluation standards: /strong Own dataset methodology and the eval harness; turn failure modes and conversation insights into measurable improvements. /li
li strong Drive Research and Innovation: /strong Experiment with prompting, context handling, and post-training; share learnings externally when appropriate. /li
/ul
h4 data-start= 1663 data-end= 1706 💡 Qualifications /h4
ul
li strong Deep LLM experience: /strong Built and scaled production LLM systems; strong grasp of capabilities, limits, and emergent behavior. /li
li strong Prompt engineering: /strong Sets best practices and mentors across models and use cases. /li
li strong Software engineering: /strong Strong fundamentals; designs scalable systems and makes pragmatic architectural calls. /li
li strong Strategic execution: /strong Drives ambiguous, high-scope work end to end; influences across teams. /li
li strong Systems thinking: /strong Spots process/communication/technical debt and improves team velocity. /li
li strong Model agent literacy: /strong Tracks coding-agent/LLM advances; understands model tradeoffs and the agent lifecycle. /li
li strong Data-driven leadership: /strong Builds data collection + eval harnesses; turns insights into measurable improvements. /li
li 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. /li
/ul
h4 data-start= 1850 data-end= 1873 🎯 Bonus Points /h4
ul
li strong Fine-tuning and alignment o /strong f: LLMs (SFT, RLHF/RLAIF, DPO/ORPO) /li
li strong Machine Learning Background: /strong Understanding of ML fundamentals and experience with model evaluation metrics. /li
li strong Open Source Contributions: /strong Experience contributing to or maintaining open-source AI/ML projects. /li
li strong Research Background: /strong Experience reading and implementing techniques from AI/ML research papers. /li
li strong External Presence: /strong Experience speaking at conferences, publishing technical content, or representing an organization in industry forums. /li
/ul
h4 data-start= 1974 data-end= 1992 📌 A Few Notes /h4
ul data-start= 1994 data-end= 2199
li data-start= 1994 data-end= 2043
p data-start= 1996 data-end= 2043 You do strong data-start= 2003 data-end= 2010 not /strong need a college degree to apply /p
/li
li data-start= 2044 data-end= 2134
p data-start= 2046 data-end= 2134 You do strong data-start= 2053 data-end= 2060 not /strong need to be located in the U.S. — we’re remote-friendly /p
/li
li data-start= 2044 data-end= 2134
p data-start= 2046 data-end= 2134 You do strong data-start= 2144 data-end= 2151 not /strong need to meet every qualification listed above br br /p
/li
/ul