Added
14 days ago
Type
Contract
Salary
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Related skills

python llms evaluation gemini openai

πŸ“‹ Description

  • Decide which new models, papers and techniques are worth betting on, and prove it with data
  • Build agents on frontier APIs that understand unfamiliar software and complete real business tasks
  • Create the eval and benchmark system that tells the team when an agent truly got better
  • Turn agent failures into fixes by digging into where and why things break
  • Ship frontier prototypes and demos that leadership shows to customers, then hand the winners to
  • Be the team's public voice on what you learn: blog posts, talks and short videos

🎯 Requirements

  • 5+ years at startups owning technical outcomes (3+ considered for standout profiles)
  • Hands on work building multi step agents with frontier LLMs (tool use, orchestration)
  • A track record of AI products or systems that reached real users
  • Rigorous experiment design: baselines, eval sets, telling signal from noise
  • You move work forward on your own and raise blockers early, without needing structure
  • AI tools are part of your daily workflow, and you can name what you use for what

🎁 Benefits

  • Equity included
  • Learning allowance and budget to try the latest AI models and tools

🚚 Relocation support

πŸ›ƒ Visa sponsorship

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