Applied AI Engineer
Embedding VC29 days ago
Responsibilities
- Introduce best practices for Claude Code, Cursor, Devin, Replit Agent, Skills, hooks, subagents, long-context engineering, and MCP integration.
- Define Skill design conventions, deliver 5–10 reference-quality Skills, and improve team-wide engineering quality through PR review.
- Design and implement an AI-native software lifecycle spanning specification, design, implementation, review, testing, release, and operations.
- Build internal AI application prototypes validating streaming UX, transparent agent steps, long-context memory, and multi-agent collaboration.
- Deliver runnable reference architecture implementations for difficult AI application scenarios.
- Propagate engineering practices through monthly technical talks, quarterly blog posts, and semiannual APAC workshops.
- Participate in AI architecture reviews and provide application-layer technical guidance and feedback.
Requirements
- Bachelor’s degree or above in computer science or electrical engineering from a top-tier institution; a master’s degree is preferred.
- 6+ years of software engineering experience, including at least 2 years focused on LLM applications.
- Production experience shipping AI applications from 0 to 1 and at least one core-engineering role at a top-tier Silicon Valley AI company or leading AI product team.
- Daily-driver fluency with at least one of Claude Code, Cursor, Devin, or Replit Agent, including understanding of Skills, hooks, subagents, MCP, and long-context engineering tradeoffs.
- Hands-on experience with agent application patterns including ReAct, Plan-Execute, Reflection, Multi-Agent, and Orchestrator-Worker approaches.
- Experience with LangGraph, AutoGen, CrewAI, OpenAI Swarm, or comparable in-house frameworks.
- Strong backend engineering in Go, Python, or TypeScript and mid-level-or-higher frontend experience with React or Next.js.
- Experience with end-to-end streaming rendering and interaction, AI application UX, and product collaboration with PMs and designers.
- Public technical influence through blogs, talks, or open-source contributions.
- Ability to independently prioritize work, drive prototype-to-dogfooding loops, and collaborate asynchronously with APAC teams.
- Preferred qualifications include contributions to LangChain, LlamaIndex, AutoGen, CrewAI, Vercel AI SDK, Claude Code MCP, or OpenTelemetry GenAI; experience translating research into production patterns; SaaS B2B 0-to-1 experience; multilingual English/Chinese applications; or financial and crypto AI experience.
Tech Stack
Categories
About Embedding VC
Embedding VC is an early-stage venture fund that backs generative AI startups, led by current and former builders and operators. The partnership invests capital and hands-on expertise to help AI founders scale, with a focus on progress toward AGI. Founded in 2023 and headquartered in Menlo Park, California, it operates as a private partnership concentrating on AI-native applications and infrastructure.