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Accountabilities:

  • Own the shared AI foundation used by product engineering teams, including model selection and routing, model proxy infrastructure, context management, and tool design.
  • Design and evolve the architecture that allows different AI capabilities and product teams to build on a consistent, reliable foundation.
  • Own AI evaluation infrastructure, working with customers and finance-domain experts to define quality standards and translate them into repeatable evaluations.

Requirements:

  • Demonstrated experience building and shipping production LLM systems, including evaluation infrastructure, context management, multi-model routing, or multi-provider architectures.
  • Strong practical understanding of production AI system failures, with ability to explain specific trade-offs and improvements you have implemented.
  • Experience with LLM APIs and agent frameworks, combined with a track record of shipping user-facing AI products.

Benefits:

  • Fully remote work across the Americas with flexible working hours.
  • Unlimited paid time off and regular in-person company retreats.
  • Competitive compensation structure with location-based salary ranges and equity participation.

Jobgether

Our partner is building a suite of financial planning and analysis capabilities powered by a shared AI foundation. They operate as a remote-first engineering team with a focus on autonomy, craftsmanship, and high-impact work.

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