Software Engineer

Aleph America Corporation
Latin America, United States
7 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
1 year minimum
Compensation
$130,000.0 - $350,000.0
Working hours
Regular working hours

Tech stack

Artificial Intelligence Large Language Models Multi-Agent Systems

Job description

  • 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

Requirements

  • 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
  • You 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

Benefits & conditions

  • 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

While this is a remote-first opportunity, we’re focusing on candidates within the Americas to better align with our working hours as a team., Full-time Latin America, North America Senior Level $130k-$350k per year

About the company

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).

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Good distractions

Talks and stories from around this role — technically off-topic, practically not.

2:08 min

Applying large language models to infrastructure tasks

Alfonso Sandoval Rosas Alfonso Sandoval Rosas · Europe 2026 Virtual

2:26 min

Comparing single-shot prompts and multi-agent systems

Dr. Alexander Wachtel Dr. Alexander Wachtel +1 · World Congress 2025

3:32 min

Fundamentals and limitations of large language models

Krzystof Czieslak · LIVE

3:46 min

Core terminology and audiences for interpretable artificial intelligence

Karol Przystalski · LIVE

2:21 min

Transitioning from AI co-pilots to AI-native products

Jordan Tigani Jordan Tigani · World Congress 2026 Europe

2:28 min

Selecting communication patterns for multi-agent systems

Ricardo Ricardo · World Congress 2025

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