Staff+ Software Engineer, AI

Aleph

6d • $130,000 - $350,000 • Remote

About The Position

Aleph is an AI-native platform for Financial Planning & Analysis (FP&A), an established software category with a multi-billion market but no clear winner. We’re trying to solve a problem many finance teams are super familiar with: data scattered across a million systems, endless spreadsheets and way too much time spent getting numbers to line up instead of actually using them to make decisions.
Aleph was founded by Albert Gozzi and Santiago Perez De Rosso, two technical founders with backgrounds from Stanford and MIT and experience working at top-tier companies such as Google, Microsoft and Bain & Company. We’re backed by top VCs (Khosla Ventures, Bain Capital Ventures, YC, Picus Capital), and work with customers like Webflow, Notion, Zapier, Y Combinator and many others.
We are hiring remotely across the Americas (United States, Canada, LATAM).

Requirements

• Shipped production LLM systems - evals, context management, multi-model or multi-provider routing - and can talk concretely about what broke and what you changed
• Build proof of concepts, decide quickly, and ship v0s. Evals drive your quality bar
• Strong judgment about abstractions: opinionated about design, pragmatic about shipping incrementally
• Experience with LLM APIs and agent frameworks, and shipped user-facing products
• You want to ship production systems, not do research
• Adoption: teams you don't manage have picked up systems you built - because they were that good
• Strong fundamentals: you can trace requests from UI to data store and make good technical decisions at every layer
• High agency: background as a founder, engineering lead, or startup builder. You have a builder's mindset and find creative ways to ship
• Pragmatism: you choose the fewest and simplest tools that will actually work
• Craft: you care deeply about code quality and write code that's correct and easy to understand
• Communication: clear, direct, and persuasive across technical and non-technical audiences
• Experience: you've built complex B2B products, ideally from scratch

Responsibilities

• 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 This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed