Software Engineer
Posted 2 Oct 2026
Advertised as “Senior Software Engineer - Alti (AI)”
BranchFactor Summary
The original posting with the fluff stripped out
- Management level
- Individual contributor
- Employment
- Remote
- Contract
- Full-time
No salary listed for this role.
Alternative Payments is building the financial operating system for SMBs, consolidating the disconnected tech stack that holds service-based businesses back. Starting with MSPs, we’ve spent five years perfecting accounts receivable, and we’re now expanding into accounts payable, AI-powered analytics, and beyond. We’re at an inflection point: closing the loop on money movement and laying the foundation for a platform that will reshape how service businesses operate financially.
We’re growing fast, thinking big, and building a global team that wants to be part of something that lasts. We believe the best solutions come from diverse perspectives, deep collaboration, and a shared obsession with customer impact. If you’re energized by real problems, real customers, and real impact, we want to hear from you!
What We’re Looking For
We’re looking for a Senior Software Engineer to join Alti, our AI agent product. Alti launched in July 2026 and is growing fast. Now we need to scale it: more agents, more automated routines, and our own machine learning models alongside LLMs.
You’re a product engineer first. You ship features that customers use, and you bring hands-on experience with LLMs, agents and data. You’ll work in a small squad with engineers, a PM and a Product Designer, and you’ll help the team get stronger at evaluation, observability and taking ML to production.
This is a remote position based in Brazil.
What You’ll Do
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Build and ship Alti product features end to end, from conversational AI to agents and automated routines.
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Design and improve RAG pipelines and prompt strategies.
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Build LLM evaluation pipelines to measure quality and catch regressions.
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Set up monitoring and observability for AI features: prompts, models and usage.
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Help take ML models to production with monitoring and continuous feedback loops.
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Partner with Product and Design to find where AI and ML can solve real customer problems.
What You’ll Bring
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Solid experience as a software engineer building and shipping product features.
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Hands-on work on AI products in the last 12 months (LLMs, agents, AI features). You don’t need to have led it, but you’ve built it.
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Experience with at least one of: chatbots/conversational AI, RAG, or LLM evaluation pipelines.
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Strong skills in at least one of Go, TypeScript/JavaScript or Python.