Senior ML Engineer
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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 xuezdbg
- Bonus: distributed systems experience
Perks & benefits
- Remote-first
- Equity package
- Health insurance
- $2k learning budget
- Compute budget for experiments
Department: Engineering
Location: Remote (EU)
Type: Full-time
Compensation: $110k, $160k + equity