bolt.new · 4 months ago
Senior Applied AI Engineer
StackBlitz is a pioneering company that focuses on AI-powered development tools, including their innovative app builder, Bolt.new. As a Senior Applied AI Engineer, you will lead the development of AI agents that convert natural language into production-ready applications, working with advanced LLMs and tackling complex challenges in AI integration and usability.
Developer PlatformInformation TechnologySoftware
Responsibilities
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
Cross-Functional Collaboration: Work closely with your peer software engineers and product managers to embed AI capabilities into the product lifecycle. Ensure that AI-driven features are production-ready, meaning they are efficient, maintainable, and well-monitored in deployment
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)
Qualification
Required
Strong proficiency in TypeScript is essential, as it's our primary programming language for building AI agent systems and integrations
Hands-on experience working with Large Language Models (LLMs) and understanding their capabilities and limitations. Proven experience building applications or systems powered by LLMs
Deep understanding of prompt engineering best practices to guide LLM behavior. Able to craft, refine, and optimize prompts for different tasks and models
Solid software engineering fundamentals with experience in building production-ready systems
Strong analytical and problem-solving skills with the ability to debug complex AI behaviors
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
Preferred
Familiarity with DSPy (Declarative Self-improving Python) for building modular AI systems and optimizing prompts programmatically
Understanding of ML fundamentals and experience with model evaluation metrics
Experience contributing to or maintaining open-source AI/ML projects
Experience reading and implementing techniques from AI/ML research papers
Company
bolt.new
Build stunning apps & websites by chatting with ai.
Funding
Current Stage
Growth StageTotal Funding
$113.4M2025-01-22Series B· $105.5M
2022-04-06Seed· $7.9M
Recent News
2025-10-10
2025-08-14
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