AI Agent Engineer (Coding Agent)

Sekai

Sekai

Software Engineering, Data Science

United States

Posted on May 22, 2026

What is Sekai?

Sekai is building the TikTok for mini apps — an AI-driven consumer platform where people create, remix, share, and play interactive content instantly.

We are a Series A company backed by Khosla, a16z, Mayfield, and A*, with $30M raised to date. We are remote-first across all positions and are looking for ambitious, AI-native builders who want to help shape the next generation of consumer social products.

Here are Sekai’s download links:

  • Android: https://play.google.com/store/apps/details?id=chat.sekai.app&hl=en_US
  • IOS: https://apps.apple.com/us/app/sekai-create-remix-play/id6504506653

Why We are Hiring?

We’re doubling down on creation quality and reliability. This is a key role with real ownership: the person will run the lane end-to-end and set the technical bar for agent-driven app generation.

You will own

  • Designing and owning the agent runtime and orchestration layer
  • Building long-horizon agent workflows: prompt → plan → generate → run/validate → repair → publish
  • Developing robust evaluation and quality loops including eval harnesses, regression testing, and failure taxonomy
  • Designing model strategies including routing, benchmarking, reliability improvements, and cost/latency optimization
  • Creating debuggable agent systems with tracing, metrics, alerts, and observability

We’re looking for

  • Have experience building agentic systems involving tool use, orchestration, retry/repair loops, and context management
  • Are comfortable working with modern agent frameworks, such as
  • LangChain, LangGraph, Google ADK, Pi-mono, or Vercel AI SDK
  • Are strong engineers in Python or TypeScript
  • Have experience shipping and operating production systems
  • Have strong product instincts and can translate user experience goals into system
  • design decisions

Bonus points

  • Built a coding agent, devtool, IDE assistant, or code generation pipeline
  • Experience building evaluation frameworks (automated scoring, regression suites, release gating)
  • Experience designing MCP-style tool protocols or robust tool interfaces for LLM systems

Compensation & Benefits

  • Competitive compensation: salary + equity
  • Health coverage: we cover full medical insurance / health insurance