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Software Engineer at early-stage gaming AI startup

Are you a gamer and an engineer? This early-stage London startup is building a real-time AI copilot that watches your screen and talks to you like a pro-player. As the second engineer, you'll tackle massive challenges in low-latency voice, computer vision, and real-time knowledge retrieval. If you want to define the future of how players interact with games using cutting-edge AI orchestration, this founding-level role is for you.

About this role

Role overview

As the second engineer, you will build a real-time AI copilot that understands gaming state through visual and voice interfaces. You will solve high-stakes challenges in low-latency voice interaction, multimodal computer vision, and knowledge retrieval to provide gamers with expert-level assistance without breaking their immersion or flow.

About the company

About the company

Early-stage gaming AI startup

What you'll do

What you will do

  • Develop real-time voice and visual understanding systems that react instantly to live gameplay state.
  • Orchestrate complex LLM pipelines using multi-step reasoning and function calling to provide deep game strategy.
  • Build and scale a sophisticated knowledge engine that models complex game mechanics and item relationships.

Who you are

Who this is a fit for

  • Expert in TypeScript and full-stack development with a proven track record of shipping production-grade Node and React systems.
  • Deeply experienced in building with LLMs, moving beyond simple API calls to complex orchestration and prompt engineering.
  • Passionate gamer with domain expertise in complex titles who understands the specific needs of players during live sessions.

Why this role

Why this role is remarkable

  • Shape the foundation of a product that creates a brand-new category in the intersection of AI and interactive entertainment.
  • Join a fast-moving, early-stage team where your architectural decisions directly define the engineering culture and product roadmap.
  • Work on cutting-edge technical problems including sub-millisecond RAG, real-time WebRTC voice pipelines, and advanced computer vision.

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