Job Description

Fullstack Engineer

Swedium Global is a rapidly growing system engineering and solution company headquartered in Stockholm, Sweden. Serving various industries across Europe, Swedium Global is dedicated to providing tailored consulting services through on-site consultants and offshore software development centers located in Poland, the Czech Republic, India, and Sweden. By combining technology and expertise, Swedium Global empowers businesses with innovative and efficient solutions.

Fullstack Engineer

Industry: Software Development
Start Date: ASAP
Duration: 6 months ( possiblites of extenstion )
Language: English (Full Professional)
Seniority: Senior
Workplace: Remote within Sweden

About the Role

Join the Customer Service Platform (CSP) team, focused on ensuring AI enhances 100% of support interactions through smarter self-service, proactive insights, sophisticated bot conversations, and augmented tools for human advisors. The role focuses on building foundational systems that support distributed contact centers and message routing.

What You'll Do

• Develop and operate services that form the core of the Customer Services platform landscape
• Collaborate with cross-functional working groups to design and implement a standardized data model and unified API structure, enabling agentic AI to reason about a user’s full context and history across all support surfaces
• Build foundational systems to run customer service operations

Required Skills

• Strong experience with React and modern JavaScript/TypeScript
• Hands-on experience with Next.js (SSR/SSG, routing, data fetching patterns) and Java
• Experience building production web applications (performance, accessibility, security, observability)
• Familiarity with testing web applications (e.g. Jest, React Testing Library, component/integration tests)
• Backend-biased profile preferred

Key Focus Areas

• Building and maintaining foundational systems that position AI as a central hub in the CSP landscape
• Contributing to a centralized "CS AI Agent"
• Architecting a trust and safety layer to protect users
• Creating a standardized data model for complete customer context and history
• Transforming customer service actions into reusable platform capabilities
• Ensuring AI-driven and human-led support experiences are consistent, reliable, and secure

Environment

Work within a cross-functional organization where engineering, product, and data teams collaborate to build an AI-oriented technology suite, leveraging best-in-class vendor AI capabilities while focusing R&D efforts on high-value integrations and innovations.