Applied AI (f/m/d)
UpvestBerlinPosted 11 April 2026
Tech Stack
Job Description
Applied AI (f/m/d)
At Upvest, we are on a mission to make investing as easy as spending money. Upvest empowers businesses to offer a wide range of investment products and the best experience in the field of capital market investment and retirement planning. Upvest's Investment API is easy to integrate so that fintechs and financial institutions can save resources and fully focus on their core business.
We are proud to partner with Europe's leading fintechs and financial institutions such as DKB, Revolut, N26 and Raisin. Founded in 2017 by Martin Kassing, Upvest now brings together over 270 talented professionals from more than 70 nationalities. We're backed by world-class investors such as Hedosophia, Sapphire, Bessemer Venture Partners, BlackRock, Earlybird, HV Capital, Notion Capital, and Motive Ventures.
As we enter our next stage of growth, we are looking for an exceptional Applied AI Engineer to join our Engineering team, reporting directly to Yurii Opryshko https://www.linkedin.com/in/mcm69/ and working closely together with our SVP Engineering Roberto Fajardo https://www.linkedin.com/in/robertoafjr/, as well as our business functions. This is a senior individual contributor role at the frontier of how Upvest leverages AI to fundamentally change how our teams work.
ABOUT THE ROLE
AI is reshaping how financial infrastructure companies operate — and at Upvest, we're moving fast. As our first dedicated Applied AI hire, you won't be joining a function: you'll be building one.
Own our AI implementation at Upvest
You will identify where AI creates the most leverage across the business, help select and integrate the right tooling, and ship solutions that teams actually use. This is a hands-on senior IC role with direct impact on how 290+ people work every day.
You will connect our AI tools to Upvest's internal systems, integrating Claude and other LLMs with our internal tools, APIs, and data sources via the Model Context Protocol (MCP), building lightweight integrations where needed, and expanding that connectivity as our use cases grow. You'll identify high-impact automation opportunities, build end-to-end workflows using tools like n8n, and make pragmatic calls about when a simple automation beats a complex agent. You lead with the opportunity, not the technology.
Work as in-house AI consultant and with each Upvenger to shape their daily work
Equally important is your role as an in-house AI consultant. You'll work 1:1 with others across the business, from engineers to operations to client facing teams, helping them rethink and optimise how they work with AI. You'll run discovery sessions, write internal playbooks, and coach colleagues on prompt engineering and AI tooling.
Upvest is a BaFin and FCA regulated firm. You understand the constraints that come with that and know how to navigate data privacy, compliance, and audit requirements without needing to be convinced they're real.
WHAT YOU BRING
- AI Native: Hands-on experience shipping AI agents and building end-to-end automations with tools like n8n. You move fast and stay current.
- MCP experience: You've built or worked with MCP servers and know how to connect LLMs to internal tools, APIs and data sources.
- Coaching mindset: You've upskilled non-technical teams on AI tooling and driven real adoption — not just built and handed off.
- Pragmatism: You define ROI, iterate, and ship — you don't over-engineer. A simple deterministic automation beats a complex agent when appropriate.
- Business acumen: You connect technical work to business outcomes — you think in terms of impact, not just implementation.
- Stakeholder skills: You can run discovery sessions and present confidently to senior, non-technical audiences.
- Regulated industry experience: You've worked in fintech or a closely adjacent field and understand compliance constraints first-hand.
- Background: 5+ years in a scale-up, in roles such as solutions engineer, technical consultant, AI product e ... (truncated, view full listing at source)
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