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:
Why we’re 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
If you are excited about building at the frontier of AI, consumer social, and interactive entertainment, we would love to hear from you.
At Sekai, you will work with an AI-native team, move fast, own meaningful problems, and have the flexibility to explore new ideas from an early stage.
