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Senior Applied AI Engineer

StackBlitz· Engineering
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RemoteunknownPosted 3mo ago

About the role

Senior Engineer on the AI team building core coding AI agents for Bolt.new, collaborating with product, design, engineering, and data to solve agent challenges and ship AI features to millions of users.

Responsibilities

  • Build and ship state-of-the-art coding agents for Bolt.new (long-running workflows, context compression, agent loops, model routing)
  • Own agent capabilities end-to-end: planning, tool use, code generation/editing, and maintaining context across large codebases and multi-turn sessions
  • Integrate and evaluate multiple LLM providers (OpenAI, Anthropic, Google): benchmark quality/cost/latency; choose the right model for each task; adopt new model features
  • Design safe, reliable tool-use and workflow orchestration (e.g., Vercel AI SDK, LangGraph): structured actions, guardrails, and production observability
  • Partner closely with product/design/engineering/data to deliver robust AI features; mentor and raise the bar for peers
  • Build and maintain evaluation harnesses and datasets; analyze failure modes and user feedback to continuously improve quality and reliability

Qualifications

  • LLM Experience: Have shipped LLM agents to production environments used by thousands of users
  • Prompt Engineering: Deep understanding of prompt engineering best practices to guide LLM behavior; 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

Skills

Required:LLM agent developmentPrompt engineeringSoftware engineeringAutonomous executionData-driven decision makingEnglish communication
Last updated Jul 26, 2026. Interested? Apply on the company site.
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