Related skills

backend cloud machine learning distributed systems ai

πŸ“‹ Description

  • Set AI up to succeed through context engineering and architecting systems with clean interfaces
  • Review and choose well, reading far more code than you write, catching silent assumptions, security
  • Work with non-determinism, using evals, golden datasets, structured outputs and fallback paths
  • Communicate clearly and frequently (documents, decisions, post-mortems, design notes)
  • Make decisions and own them, being willing to be a benevolent dictator when it is your turn
  • Mentor in AI fluency, not just code: tooling, prompting and review discipline

🎯 Requirements

  • Outcome obsessed, not output obsessed, caring whether the problem was actually solved
  • Intellectually honest about uncertainty, taking a trust-but-verify approach
  • Deeply pragmatic, holding opinions loosely and deciding for the systems in front of you
  • Bias toward delivery: the smallest thing that works, then iterate
  • Relentlessly curious beyond any immediate need, wanting to know how the database stores things or
  • AI as a first-class competency, fluent with AI tools and practices

🎁 Benefits

  • Flexible working, including hybrid and remote options
  • Office hubs located in Edinburgh, Leeds, Manchester, London and Bulgaria
  • Occasional travel to client sites or CreateFuture offices when needed
  • Trust to manage your time balancing collaboration with client time and focused work
  • Supportive and friendly culture surrounded by smart, curious people
  • Real investment in your growth both professionally and personally
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