Staff+ Software Engineer, AI
Aleph, Americas
What you will do
- Own the AI foundation product teams build on: model selection and routing, the model proxy layer, context management, and tool design
- Own eval infrastructure. Work with customers and finance domain experts to define what excellent output looks like, then encode it in evals every team can run - in FP&A, a wrong answer ends up in someone's board deck
- Ship agentic features end to end, from v0 through the optimization loop: prompt and context engineering, caching, parallel tool calls, subagent patterns
- Build observability into agent behavior so we can profile it, find bottlenecks, and decide what to fix with data
- Track what's changing in agentic systems and bring the practices that prove out into how we build
What you need
- You've shipped production LLM systems – evals, context management, multi-model or multi-provider routing - and can talk concretely about what broke and what you changed