[Hiring] Senior Applied AI Engineer @bunch

Role Description

As a Senior Applied AI Engineer on our AI Platform team, you take AI at bunch from working to relied upon. We already run AI in production — a document extraction pipeline live in fund operations, agent workflows on Mastra, evaluations, and multi-provider fallback inside EU data residency. Fund operations run on documents, deadlines and numbers that have to be right — subscription documents to parse, capital calls to chase, portfolio data to reconcile. You build on that foundation:

• More agents taking that work off people's hands.
• Evaluations that prove they can be trusted with it.
• A platform that lets every other team at bunch ship the same way.

This is end-to-end product engineering, not research: you own architecture, evaluation, integration, and deployment.

Qualifications

• 5+ years building production software, including at least one agent or LLM-powered capability you took end to end and still owned once it was live.
• Real depth in orchestration and context engineering — tool contracts, memory, RAG, multi-agent design — with Mastra, ai-sdk, LangGraph or similar.
• Experience in fintech, private markets, or another regulated, document-heavy domain is a plus.
• Experience with TypeScript and/or Python.

Requirements

• Build and ship agents that automate real fund-operations workflows.
• Evaluate and improve agent performance with clear success criteria.
• Own the AI application architecture with clear domain boundaries.
• Run it in production with observability to trace failures.
• Make it a platform, not a project, by setting patterns for other engineers.

Benefits

• Customizable benefits package (wellbeing, sport, mobility, food, and more).
• 28 days of vacation, plus 2 company days and local public holidays.
• Remote setup with up to 6 remote calendar weeks a year.
• A great tech and work setup.
• Work with a diverse team of 130+ bunchies from 40+ countries.

Hiring Process

• People Team Interview (30 min) – Meet us and check initial fit.
• Hiring Manager Interview (60 min) – Explore product-focused culture, collaboration, ownership, self-awareness, and quality standards.
• Technical Interviews (2 x 60 min) – Two technical conversations, one with our engineers to discuss system and agent-design questions, and one focused on core AI technical topics.
• Final Round with our CTO Leandro (45 min) – Discuss ways of working, bunch’s engineering vision, and team culture.

Company Description

bunch is building the operating infrastructure for the next generation of private markets. We combine AI-powered automation with deep regulatory expertise to replace fragmented spreadsheets and manual processes with one integrated platform across the fund lifecycle, purpose-built for private markets heading toward $32 trillion in Assets Under Management.

We've 4x our ARR in 2025, crossed 150 fund managers and 12,000 LPs on the platform, and just closed our $35M Series B in May 2026. We're looking for ambitious people who want real ownership of hard problems, and who care about building infrastructure that actually matters to the people using it.