AI Platform Engineer (f/m/d)

As we enter our next stage of growth, we are looking for an exceptional AI Platform Engineer to join our Engineering team, reporting directly to Yurii Opryshko and working closely together with our SVP Engineering Roberto Fajardo. This is a senior individual contributor role, and one of the first two hires into a new Applied AI function. You will design, build and operate the infrastructure that connects Claude and other LLMs to Upvest's internal systems — MCP servers, integrations to internal tools, APIs and data sources — and the hosted infrastructure behind the automation stack that other teams build on. You will work directly with people in Operations, Compliance, Growth and Finance to help them build their own workflows. You will be the main technical point of contact between Security and everything the AI platform touches.

Responsibilities

Design, build and operate the infrastructure that connects Claude and other LLMs to Upvest's internal systems — MCP servers, integrations to internal tools, APIs and data sources — and the hosted infrastructure behind the automation stack; Harden infrastructure as adoption grows, with reliability, observability and evals for AI systems in production; Work directly with people in Operations, Compliance, Growth and Finance to help them build their own workflows and make teams self-sufficient; Work alongside Security as the main technical point of contact, building so access boundaries, audit trails and data handling are there by design

Requirements

Platform mindset, applied pragmatically: built infrastructure others built on top of; know when not to; ship a narrow slice that creates value this week and generalise once seen the same problem three times; Make other people capable: handed something over and had it stick; team ended up able to carry it themselves; AI native: hands-on experience shipping AI agents and end-to-end automations that ran in production and that other people depended on; Connecting LLMs to internal systems: securely connected models to internal tools, APIs and data sources; understand access, scoping and audit questions; Automation and orchestration infrastructure: built and run workflow automation at production quality; we use n8n, the specific tool matters less; Security-conscious collaborator: comfortable being the technical counterpart to a Security team on AI systems; Regulated industry experience: worked in fintech or closely adjacent field and understand compliance constraints; Pragmatism: define ROI, iterate and ship; a simple deterministic automation beats a complex agent when appropriate; Background: 5+ years in a scale-up, in roles such as platform engineer, infrastructure engineer, applied AI engineer, solutions engineer, or similar; Location: Berlin preferred; English required

Nice to have

Experience building or operating MCP servers; German a plus

Benefits

Best-in-class AI tools: €20,000 per year to spend on AI tools; Work with experts: mission-driven engineering team; Professional development: annual budget of €1,500 for training; Wellbeing: 30 days annual leave, sports benefits, confidential professional coaching, flexibility to work remotely abroad up to 183 days a year; Compensation and equity: competitive above-market salary and employee equity program; Flexible work environment: role based in Berlin with flexibility not always in office; Team celebrations: company-wide events such as UpFest, dinners, offsites and holiday party