AI Agent Engineer (Coding Agent)
Remote · USJobPosted 3w agoStill listed today
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Job overview
Sekai is building an AI‑driven consumer platform for mini apps and seeks an AI Agent Engineer to own the end‑to‑end agent harness layer, design long‑horizon workflows, develop evaluation loops, and optimize model strategy, all while shipping robust, observable systems in a remote‑first environment.
Skills & qualifications
Skills
Benefits
Full job description
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:
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Android: https://play.google.com/store/apps/details?id=chat.sekai.app&hl=en_US
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IOS: https://apps.apple.com/us/app/sekai-create-remix-play/id6504506653
Why we're hiringWe're doubling down on creation quality and reliability. This is a key role with real ownership: you'll run the lane end-to-end and set the technical bar for agent-driven app generation. We want people who think in systems, not solutions.How do we generate fully autonomous software for recreational use? How do we generate it fast? And how do we do it tastefully? This role lives at the bleeding edge of what current AI can do — if those questions excite you, it's for you. You will ownDesigning and owning our agent harness layerBuilding long-horizon agentic workflows with maximal autonomyDeveloping robust evaluation and quality loops, including eval harnesses, regression testing, and failure taxonomiesDesigning model strategy: routing, benchmarking, reliability, and cost/latency optimizationCreating debuggable agent systems with tracing, metrics, alerts, and observabilityResearching novel approaches and shipping them to production We're looking for You've built agentic systems — tool use, orchestration, retry/repair loops, context management — whether on raw provider APIs or frameworks like LangGraph, PydanticAI, Google ADK, Pi-mono, or Vercel AI SDK. You understand the tradeoffs well enough to know when the framework gets in your way.Experience with distributed / real-time systemsA research-and-ship mindset: you treat open-ended problems as experiments, and you care as much about getting the result into production as discovering itStrong software engineering fundamentals, with depth in Python and/or TypeScriptA track record of shipping and operating production systemsA history of owning hard problems end to end — you can point to systems you built and the outcomes they drove, not just the tech you touchedStrong product instincts: you can translate user-experience goals into system-design decisions Bonus pointsTook a customer-facing product from 0 to 1Built a coding agent, devtool, IDE assistant, or code-generation pipeline (directly relevant — this is what we do)Built evaluation frameworks (automated scoring, regression suites, release gating)Designed MCP-style tool protocols or robust tool interfaces for LLM systemsExperience training and/or fine-tuning LLMs Compensation & benefits Competitive compensation: salary + equityFull medical / health insurance coverage health insurance 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.
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