AI Software Engineer
Medius 1661844806
| Company | Medius 1661844806 |
| Category | Engineering |
| Location | — |
| Remote | — |
| Employment | Not stated |
| Level | Not stated |
| Salary | Not stated by the employer |
| Posted | 13 Jul 2026 |
| Last verified | 30 Jul 2026 |
| Source | Employer career page (teamtailor) |
Description
About Us At Medius, we believe managing finance should be about strategy, not stress. That same mindset shapes not only the solutions we build, but also the culture we create for our people. We remove complexity, embrace innovation, and give our teams the freedom to focus on what truly matters — whether that’s transforming the future of finance with AI or finding balance to go home on time. Founded in Sweden in 2001, Medius has grown from a local startup into a global leader in cloud-based spend management solutions. Today, thousands of organizations worldwide trust us to simplify accounts payable and spend management processes. Our journey has been driven by continuous innovation, a passion for technology, and above all — the people who make it happen. We’re more than a software company. We’re a team of problem-solvers, innovators and collaborators working together to reinvent the category of accounts payable. Our solutions use Artificial Intelligence to eliminate manual work, bring clarity, confidence, and control, and empower finance teams of the future. At Medius, our values guide how we work and grow together: Connect – We believe in the power of people—individually and collectively—and our success depends on understanding and respecting each other. We appreciate that ‘empowering finance teams of the future’ is an exciting endeavor, and we share it with everyone around us. Question – We enjoy the challenge of our work and the thrill of collaboration. We are not afraid to question ourselves and each other because we believe diverse perspectives can lead to better outcomes and that there is great power in resolution. Own – We are thorough, thoughtful, and decisive. We anticipate what’s next, what a customer might need, and then we deliver. That’s how we get things done. And that’s how we remain a leader. Customers trust us to do our job so that they can focus on what they do best. At Medius, you’ll join a diverse, global community where curiosity is celebrated, ideas matter, and innovation never stops. If you’re passionate about technology, eager to make an impact, and ready to grow alongside a team that lives its values, Medius is where you can do your best work — your impact is global. Learn more at www.medius.com Job overview The AI & Transformation team is looking for an AI Software Engineer to design, build, and ship production-grade AI systems used by hundreds of colleagues every day. You'll work directly with the Tech Lead, Product Owner, and business teams across Finance, Sales, HR, and Professional Services — translating complex processes into agentic workflows that are testable, auditable, and built to last. This role is for someone who thinks in systems, forms opinions on the AI landscape, and takes real ownership of what they ship. Responsibilities and Duties Design, build, and ship production AI agents, RAG pipelines, MCP server integrations, and Fast API services Work with the Tech Lead and Product Owner, and directly with all business teams across Finance, Sales, HR, and Professional Services Read, challenge, and refine technical specs before writing code; translate business processes into agentic workflow designs that are testable and auditable Version and manage prompts and agent configs with the same rigor applied to code Participate in code reviews on both sides: give structured feedback and receive it Contribute to AI enablement across the organization through demos, workshops, and knowledge-sharing sessions Participate in internal hackathons and experiment with emerging AI models, architectures, and design patterns Qualifications 2+ years of hands-on experience building AI/LLM-based systems, with shipped systems and real artefacts to show Strong expertise in Retrieval-Augmented Generation (RAG) systems, with a focus on building reliable and high-performing knowledge-driven AI solu
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