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DeepRec.ai

Full Stack Engineer – AI Systems (Remote, Europe) We're building a proactive AI assistant for everyday life — bringing intelligence to conversations, tasks, errands and workflows, with minimal prompting from the user. The goal: cut the time people spend on daily admin by up to 90%, with an assistant that reliably completes multi-step, real-world tasks rather than just chatting. We're looking for a Full Stack Engineer – AI Systems to build the product layer that turns model capability into dependable, production-grade workflows — designing how our agents plan, act, fail, recover, and deliver consistent value to users. What you'll be doing:

  • Building end-to-end product features across frontend, backend, and AI integrations
  • Designing agent workflows that handle planning, tool use, failure and recovery across multi-step tasks
  • Integrating LLMs, memory, and external tools into systems that hold up under real-world, non-deterministic conditions
  • Designing real-time AI interactions with streaming, partial results and tight latency constraints
  • Improving reliability, observability and fallback mechanisms in production
  • Working closely with ML, backend and product teams to ship end-to-end, and iterating fast on real usage data What we're looking for:
  • Strong full stack experience (frontend + backend)
  • Solid grounding in system design and API architecture
  • Experience with LLMs, RAG systems, or AI-powered applications in production
  • Comfort with ambiguity and pragmatic decision-making
  • Real ownership — taking features from idea through to shipped product
  • Thrives in a fast-moving, high-autonomy environment Stack: Next.js, Python, Node.js, PyTorch, OpenAI/Anthropic/open-source LLMs, SQL & NoSQL, Kubernetes, Docker Set-up: UK-based team, hiring remotely across Europe. Small, high-talent-density team — decisions made collectively, work shipped fast, judgement and independence expected from day one. Process: Straightforward — no more than 3–4 interviews, prompt decisions, no drawn-out process.

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