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Embedding VC

Applied AI Engineer

Embedding VC
San Francisco, CA Full time Posted 8d ago
Ai Agent Ai Coding Tools Ai Developer Artificial Intelligence Artificial Intelligence Engineer Engineering Genai Agents Generative AI
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Job Description

Applied AI Engineer for a leading fintech company’s AI Team in the United States, acting as the team’s technical anchor.

Responsibilities

  • Bring engineering depth from AI coding tools into ByLabs, translating best practices from Claude Code, Cursor, Devin, Replit Agent, and similar platforms (including Skills, hooks, subagents, long-context engineering, and MCP integration).
  • Create engineer onboarding playbooks and define advanced-usage standards for AI coding tooling.
  • Raise the bar for the Skill Marketplace by defining Skill design conventions.
  • Deliver 5–10 reference-quality Skills as exemplars.
  • Improve Skill engineering quality through PR review and standards-based feedback.
  • Prototype an AI-native engineering workflow, reworking the spec-design, implementation review, testing, and release-operations lifecycle around AI tooling.
  • Produce a reference workflow that APAC teams can adopt.
  • Build internal AI application prototypes for employee-facing scenarios (example contexts include OpenClaw, A2UI, and role-bound AI assistants).
  • Validate emerging patterns via small frontier prototypes, including streaming UX, transparent agent steps, long-context memory, and multi-agent collaboration.
  • Provide runnable reference architecture code as working implementations (not documentation-only artifacts).
  • Support craft propagation with durable assets: 1 internal tech talk/month, 1 in-depth blog/quarter, and 1 onsite workshop in APAC/half year.
  • Participate in ByLab’s AI architecture review process as the U.S. AI Team anchor, offering frontier perspective and application-layer feedback.

Requirements

  • Education: top-tier CS/EE BS or above; MS preferred.
  • Experience: 6+ years of software engineering, including at least 2 years focused on LLM applications.
  • AI application engineering depth: shipped AI applications from 0 → 1 in production (not demos).
  • Team pedigree: at least one tour of duty as a core engineer at a top-tier Silicon Valley AI company or leading AI product team (examples: Anthropic, OpenAI, Meta, or similar).
  • AI coding tooling fluency: daily-driver usage of at least one of Claude Code, Cursor, Devin, or Replit Agent, with ability to articulate implementation and engineering tradeoffs.
  • Strong understanding of engineering tradeoffs in Skills, hooks, subagents, MCP, and long-context engineering.
  • Agent application depth: familiarity with ReAct, Plan-Execute, Reflection, Multi-Agent, and Orchestrator-Worker tradeoffs.
  • Hands-on experience with LangGraph, AutoGen, CrewAI, OpenAI Swarm, or in-house frameworks.
  • Full-stack engineering: strong backend in Go, Python, or TypeScript; mid-level or above frontend in React / Next.js; comfortable with end-to-end streaming rendering and interaction.
  • Product sense and craft: collaborates with PMs and designers; evaluates AI application UX patterns (streaming, undo, context surfacing, agent-step progress, etc.).
  • Public technical influence: track record of public output (blog, talks, OSS) sufficient to represent the team externally.
  • Self-direction and async collaboration: independently identifies value priorities and drives prototype-to-dogfooding loops; collaborates with APAC counterparts via documents, PRs, and async communication.

Technologies

  • Claude Code, Cursor, Devin, Replit Agent
  • Skills, hooks, subagents, MCP, long-context engineering
  • OpenClaw, A2UI
  • Go, Python, TypeScript
  • React, Next.js
  • ReAct, Plan-Execute, Reflection
  • LangGraph, AutoGen, CrewAI, OpenAI Swarm
  • OpenTelemetry GenAI, LangChain, LlamaIndex, Vercel AI SDK
  • OpenTelemetry
  • Claude Code MCP

Nice to Have

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

About the Role

  • Serve as the team’s technical anchor in the United States.
  • Lead two primary streams: AI coding tooling and developer experience; AI application paradigm exploration and dogfooding.

Location: San Francisco, CA (onsite)

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