Job type: Full Time · Department: Applied AI Research · Work type: On-Site Europe
Location: Fully Remote
Team: Research
Welcome to Maisa - Making AI Accountable!
Our agentic process automation platform helps enterprises automate complex, decision-heavy processes that traditional automation can’t handle and GenAI can’t be trusted with.
We enable organizations to scale operations, resist hallucinations, and bring end-to-end visibility and control to your most complex processes.
Powered by a new kind of computing platform, Maisa combines AI-driven problem solving with programmatic execution, so every action is reliable, auditable, and built for enterprise scale.
You’ll join our AI R&D team building production-ready AI agent systems on top of our KPU technology.
This is a hands‑on builder role focused on implementing, evaluating, optimizing and deploying agentic workflows that solve real enterprise problems.
You’ll bridge research and production, transforming cutting‑edge AI capabilities into reliable, accountable systems that meet enterprise requirements.
You will be joining one of Europe’s most exciting early‑stage AI start‑ups, where you’ll have the opportunity to work with cutting‑edge Agentic Process Automation that’s reshaping how enterprises approach AI deployment. You will get to directly influence how major multinational organizations transform critical business processes, working on genuinely differentiated technology that solves real enterprise AI challenges.
Following our recent $25m Seed Round, backed by leading Venture Capital firms including Creandum, Forgepoint, NFX, and Village Global, we’re scaling quickly and realising significant enterprise traction. This is your opportunity to help solve real AI enterprise challenges, working alongside deep technical and industry experts, where you will be challenged daily and expedite your learning and development.
Maisa is committed to Equal Employment Opportunity through attracting and retaining a complementary team of employees and building an inclusive environment for all.
#J-18808-LjbffrVeröffentlichungsdatum:
10 Mai 2026Standort:
Typ:
VollzeitArbeitsmodell:
Vor OrtKategorie:
Erfahrung:
2+ yearsArbeitsverhältnis:
Angestellt
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