Senior Applied AI Engineer, AI Platform

As a Senior Applied AI Engineer on the AI Platform team, you take AI at bunch from working to relied upon. You own end-to-end product engineering: architecture, evaluation, integration, and deployment of agents that automate real fund-operations workflows in production.

What you'll do

• Build and ship agents that automate real fund-operations workflows, owning them from prototype through production and after, integrated with services, data model, and authorization system.
• Build the evaluation layer: test cases from real documents, regression suites in CI, human review where correctness is non-negotiable, and clear success criteria for agents completing complex tasks end to end.
• Own the AI application architecture: orchestration and multi-agent design, tool contracts, memory, context engineering (RAG, MCP), guardrails, approvals, and human-in-the-loop controls.
• Run agents in production: versioned, feature-flagged rollout, rate limits, provider fallback within EU data residency, and observability to trace failures across services.
• Set patterns other engineers inherit: consolidate document parsing into this team, make shared evaluation and observability something other teams consume, mentor engineers across teams on agent and LLM practice.

What you'll need

• 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, integrated into a real product's authorization model.
• Know how to make a non-deterministic system measurable, from test cases built on real data to regression suites and human review.
• Own what you ship: reading traces, diagnosing failure modes, tuning cost and latency, handling provider rate limits and fallback.
• Experience with TypeScript and/or Python.
• Platform mindset: build for other engineers as much as end users, with standards adopted because people trust you.

Nice to have

• Experience in fintech, private markets, or another regulated, document-heavy domain.
• Working under EU data-residency constraints.

What they offer

• Customizable benefits package (wellbeing, sport, mobility, food, and more).
• 28 days of vacation, plus 2 company days and local public holidays.
• Hybrid setup (3 days/week in office) with up to 6 remote calendar weeks a year.
• Great tech and work setup.