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.