Applied AI Engineer

The role

You will lead AI coding tooling and developer experience and explore AI application paradigms. You will build frontier prototypes for internal scenarios and propagate best practices through code, blogs, and workshops.

What you will do

• Introduce AI Coding tooling best practices
• Set the bar for the Skill Marketplace
• Prototype an AI-native engineering workflow
• Build internal AI application prototypes
• Provide reference architecture code
• Cross-team craft propagation
• Participate in architecture review

Required qualifications

• Top-tier CS / EE BS or above
• 6+ years of software engineering experience
• At least 2 years focused on LLM applications
• Shipped AI applications from 0 to 1 in production
• At least one tour of duty as a core engineer at a top-tier Silicon Valley AI company or a leading AI product team
• Deep AI Coding tooling fluency in Claude Code, Cursor, Devin, or Replit Agent
• Strong understanding of engineering tradeoffs in Skills, hooks, subagents, MCP, and long-context engineering
• Solid grasp of ReAct, Plan-Execute, Reflection, Multi-Agent, and Orchestrator-Worker tradeoffs
• Hands-on experience with LangGraph, AutoGen, CrewAI, OpenAI Swarm, or in-house frameworks
• Strong backend (Go / Python / TypeScript)
• Mid-level or above frontend (React / Next.js)
• Track record of public output such as blog, talks, or OSS contributions

Nice to have

• MS preferred
• Open-source contributions to LangChain, LlamaIndex, AutoGen, CrewAI, Vercel AI SDK, Claude Code MCP, OpenTelemetry GenAI, or similar projects
• Track record of translating research output into production application patterns
• SaaS B2B product 0 to 1 experience
• Experience productizing multilingual (English / Chinese) applications
• AI experience in the financial or crypto domain

About the company

embedding-vc is hiring an Applied AI Engineer for a leading fintech company's AI Team.