Founding Engineer - Ditto
- Build core systems from scratch, across backend and AI infrastructure.
- Implement and scale LangChain/LangGraph agent workflows (yes, deeply—not just toy demos).
- Work with LLM APIs, embeddings, memory architecture, vector search, and structured output parsing.
- Optimise for latency and cost across real-time GenAI interactions.
- Design composable pipelines for input/output transforms, context injection, and user feedback loops.
- Contribute to the product direction—everyone is a builder here and we GSD.
- Experiment rapidly: we test ideas live with users and ship daily.
- LangChain / LangGraph: Real experience wiring up multi-step agents, not just plugging in a chain. You know how to debug traces, tune tool invocations, and reason about agent behaviors.
- Python Backend Mastery: Django, FastAPI or similar. You know how to build robust APIs and scale them.
- DevOps Chops: AWS, Docker, CI/CD—you’ve shipped and scaled infra before.
- AI Native: You’ve built with OpenAI, Claude, or open models; prompt-engineering isn’t new to you.
- Database Fluency: MongoDB, PostgreSQL, Redis—you know when and why to use each.
- High Agency: You don’t wait for tickets. You move fast, question assumptions, and love wearing multiple hats.
- Have worked with knowledge graphs (e.g., Neo4j) or concept embedding frameworks.
- Love hacking on side projects, mods, or AI agents in your spare time.
- Have shipped a consumer product or scaled a B2C platform.
- Have open-source contributions or a personal blog sharing your dev learnings.
- Studied maths, cognitive science, or similar—deep thinkers welcome.
- Enjoy games, social psychology, or making weird internet toys.
- Equity Upside: Founding team equity. Build value, own it.
- Flexible + Focused: Remote-first, async culture, but optional desk at 180 Strand if you like IRL deep work.
- Playful Vibes: We’re building a chat toy, not a SaaS dashboard. Joy in the process is part of the product.
- VC-Backed & Founder-Led: We’ve got funding, but we’re still scrappy. No middle management, no politics.
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