AI Software Engineer

About Medius

Medius is a Swedish origin company & a leading global provider of cloud-based SaaS spend management solutions, helping organizations drive their business forward by enabling best-in-class process efficiency, cost-savings, and greater financial control. 

Spend management doesn’t ring a bell? This term describes the process from placing an order through its delivery, verification, invoicing to its payment. Our products help companies at every step of the purchasing process, increasing their security and speeding it up. We use the latest advances in artificial intelligence (AI) and machine learning to automatically capture and process invoices.

If you are seeking a stimulating environment characterized by unparalleled momentum and rapid growth, look no further. Join us as we lead the charge in reshaping the future of spend management, setting new standards of excellence, and driving impactful change across industries.

For more info: www.medius.com

What we are looking for 

You’re perfect for this role if you:

• Are passionate about programming and enjoy bringing fresh ideas to the table, seeing them through to completion.

• Have a strong product mindset — we solve real customer problems, not just write code for the sake of it.

• Willing to work in an enabling team, which means that your main responsibility is to make another team successful and then switch to another mission.

• Have a good understanding of the structure of codebases and Dev Experience, to help building tools and APIs that enables other teams to achieve their goals faster and with a better quality.

• Prioritize both the quality of the development process and delivery speed, understanding there’s no trade-off between the two.

Responsibilities

• Contribute to Medius codebases as a Full Stack engineer with a focus on GenAI adoption.

• Work in an enabling team, working on various codebases developing tools to speed up code migration projects and improve test automation capabilities.

• Maintain internal AI-related APIs: LLM gateways, metrics gathering, LLM-based tools

• Troubleshoot and fix issues related to models performance and availability.

• Perform research tasks, investigating new APIs and capabilities of new models.

• Work closely with both technical and non-technical stakeholders to understand and challenge end-user requirements, ultimately translating these into effective technical solutions.

• Design and develop insightful dashboards that visualize metrics, providing a view of performance trends and the impact of AI-based tools.

Qualifications

• Master’s or Engineering degree in Computer Science, Software development, data science or similar technical fields

• 3+ years of software development experience using C#, TypeScript, JS

• Excellent coding, debugging, algorithm design, and problem-solving skills

• Hands-on experience with Large Language Models APIs

• Proficiency in using Git

• Strong verbal and written communication skills in English

• Familiarity with Python is a plus

Please send your resume in English (Any resumes submitted in another language will be automatically rejected).