The Company

Founded in 1999, we are a global technology enabler and pioneer in offering end-to-end software development and maintenance services through team augmentation with expertise in the rapidly growing and evolving tech ecosystems of Scandinavia and beyond. We specialise in building and managing dedicated, high-performing software development teams with full stack development competencies. Our products power leading organisations across several sectors, including healthcare, construction, oil and gas, marine, logistics, manufacturing, retail, finance, travel and hospitality, education and more.

From insights to software development, we take an industry-agnostic approach and offer a comprehensive tech stack and domain knowledge to deliver innovations at speed and scale. Collectively, our company manages 700+ tech professionals under its brand. For over 25 years, we co-create the evolution of our clients' software applications while actively participating in the innovation journey and product strategy through exceptional delivery of tech services. Partner with us for tech-inspired collaborations; together, we build.

What you’ll do

• Lead AI enablement initiatives across engineering teams.
• Identify opportunities where AI can create value for client products.
• Build proofs of concept (PoCs), prototypes, and reference implementations.
• Guide teams on the responsible and effective use of AI tools and technologies.
• Assess the feasibility, business value, and implementation approach for AI initiatives.
• Conduct workshops and knowledge-sharing sessions to accelerate AI adoption.

What we’re looking for

• Strong understanding of modern AI concepts, AI agents, and prompt engineering.
• Experience with AI-assisted development tools (e.g. GitHub Copilot and Cursor).
• Experience working with LLMs such as OpenAI, Claude, Gemini, or Azure AI Services.
• Solid software engineering skills in Python, Java, C#, or JavaScript.
• Familiarity with cloud-based AI and machine learning (ML) services.
• Ability to evaluate, benchmark, and select AI models for specific use cases.
• Understanding of AI observability, evaluation, testing, and guardrails.
• Experience with model fine-tuning (or knowledge of when and why to fine-tune).
• Ability to assess the feasibility, costs, and implementation effort of AI initiatives.

Requirements

• Bachelor's degree in Computer Science, Software Engineering, Artificial Intelligence, or a related field.
• 5+ years of software engineering experience, including at least 2 years delivering AI-enabled solutions.
• Strong communication skills, with the ability to explain AI concepts effectively to stakeholders.
• Experience in software services or consulting environments is preferred.

Benefits

• Great Remuneration 💰
• Flexible Work Arrangement 🏠
• Performance Bonus 🏦
• Private Health Insurance 🏥
• Accelerated Career Growth 📚