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Senior Applied AI Engineer

StackBlitz
Contract type
Ongoing
Work mode
100% remote
Experience
Senior · Not stated

Level inferred from job title

Job description

Key details

  • Build and ship state-of-the-art coding agents for Bolt.new, including long-running workflows, context compression, agent loops, and 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, and 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
  • Company mission
  • 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, and we're building the fastest way to go from idea to production without writing traditional code

Primary stack

Core technologies

Python (Programming Language)TypeScriptReactAWSDockerNode.js

Benefits

  • Fully remote team, globally distributed
  • Deeply collaborative and passionate about building the future of software development
  • Small team with a big vision

Requirements & details

  • Have shipped LLM agents to production environments used by thousands of users
  • 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
  • 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
  • Strong analytical and problem-solving skills with the ability to debug complex AI behaviors
  • LLMs, AI Agents, LangChain, OpenAI, Python (Programming Language), TypeScript, React, Node.js, Next.js, AWS, Docker
  • Python (Programming Language)
  • TypeScript
  • React
  • Node.js
  • AWS
  • Docker

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