
11 - 50 employees
💳 Fintech
💸 Finance
🤝 B2B
Fintech • Finance • B2B
bunch is a fintech company that provides an operating system designed to simplify and enhance the experience of investing in private markets. The platform allows for cost-efficient and rapid investments while ensuring adherence to regulatory and tax compliance requirements. It is versatile, supporting various legal structures, asset classes, and jurisdictions, making private market investments more accessible to a broader audience.
🕒 September 16
Where this job comes from
Posted on bunch's careers page, not through a job board
First seen by Remote Rocketship September 16
Still open on bunch's site. Checked 6 hours ago.

11 - 50 employees
💳 Fintech
💸 Finance
🤝 B2B
Fintech • Finance • B2B
bunch is a fintech company that provides an operating system designed to simplify and enhance the experience of investing in private markets. The platform allows for cost-efficient and rapid investments while ensuring adherence to regulatory and tax compliance requirements. It is versatile, supporting various legal structures, asset classes, and jurisdictions, making private market investments more accessible to a broader audience.
• Design and build agents that automate real fund-operations workflows • Own agents from prototype through production and ongoing operation • Integrate agents with services, data models, and authorization systems • Build evaluation layers with real-document test cases, expected outputs, CI regression suites, human review, and success criteria • Improve agent accuracy, latency, and cost • Own AI application architecture, including orchestration, multi-agent design, tool contracts, memory, RAG, MCP, guardrails, approvals, and human-in-the-loop controls • Manage production rollouts with versioning, feature flags, rate limits, provider fallback, EU regional failover, and observability • Consolidate document parsing and extraction into the AI Platform team • Create shared evaluation and observability capabilities for other teams • Establish engineering patterns and mentor engineers across teams • Review the MCP offering and ship it to initial customers within the first 90 days • Establish shared observability dashboards for AI workloads • Publish v1 agent patterns and drive adoption by at least one team outside AI Platform
• 5+ years building production software, including at least one agent or LLM-powered capability taken end to end and still owned after launch • Real depth in orchestration and context engineering: tool contracts, memory, RAG, multi-agent design, with Mastra, ai-sdk, LangGraph or similar • Experience integrating agents into a real product and its authorization model • Ability to make non-deterministic systems measurable using real-data test cases, regression suites, human review, and meaningful benchmarks • Experience reading traces, diagnosing failure modes, tuning cost and latency, and handling provider rate limits and fallback • Experience with TypeScript and/or Python • Platform mindset and experience building for other engineers and end users • Experience in fintech, private markets, or another regulated, document-heavy domain is a plus • Experience working under EU data-residency constraints is a plus • Must be currently residing in Spain or Portugal and have the legal right to work there • Availability to work remotely and travel to Berlin or other locations for quarterly team events
• Customizable benefits package (wellbeing, sport, mobility, food, and more) • 28 days of vacation, plus 2 company days and local public holidays • Remote setup • 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, with leaders who are best-in-class in their domains
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