Senior ML Engineer
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About The Role
Our agent orchestration layer routes millions of conversations a month across LLMs, voice models and custom skills. You'll own its performance, reliability and cost. We optimize for sub-300ms response times in voice and sub-2s in chat. We pick models per request based on quality vs cost tradeoffs. We A/B test prompts in production. You'll do all of this and more. This is a hands-on engineering role with significant research components. You'll write code, read papers, run experiments, and ship to production.
What you'll do
• Own the model serving and orchestration layer
• Optimize for latency, cost and quality across providers (OpenAI, Anthropic, in-house)
• Build evaluation harnesses and A/B testing infrastructure
• Research and ship improvements to RAG, tool-use and multi-step reasoning
• Mentor other engineers on ML best practices What we're looking for
• 5+ years ML engineering, 2+ years production LLM systems
• Deep Python; experience with vLLM, Triton or similar inference servers
• Strong systems thinking, you've debugged production latency or cost issues
• Comfortable reading research papers and prototyping their ideas
• Bonus: distributed systems experience Perks & benefits Remote-firstEquity packageHealth insurance$2k learning budgetCompute budget for experiments DepartmentEngineering LocationRemote (EU) TypeFull-time Compensation$110k, $160k + equity
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