Senior Full Stack Developer (Applied AI / LLM / GenAI)

This position is open only to candidates who are legally residing in Poland and can work with us through a registered business entity in Poland (e.g., sole proprietorship/JDG or limited liability company/sp. z o.o.). As part of onboarding, we kindly ask new joiners to visit our Warsaw office on the first day for a short introduction, identity verification, and equipment pick-up. Location: Warsaw, Poland Employment type: B2B contract Work model: 100% remote Business travel: Several times per year (e.g., onboarding sessions, workshops) Seniority level: Senior About Us Sanoma Learning is the leading European learning company, serving over 20 million students in 11 countries. We offer printed and digital learning materials as well as digital learning and teaching platforms for primary, secondary, and vocational education. The development of our methodologies is based on deep teacher and student insight and really understanding their needs. By combining our educational technologies and pedagogical expertise, we create learning products and services with the highest learning impact. In our Technology organization, you will join the largest cross-cultural community of Sanoma Learning and contribute to the digital transformation and future of education in Europe. Project Description Are you excited about building real working prototypes that can evolve into scalable product capabilities? Do you enjoy turning vague ideas into something tangible in days, not months? Do you thrive at the intersection of AI, product thinking, and real engineering? We’re Sanoma Learning - one of Europe’s leading EdTech companies, reaching over 20 million learners across 11 countries. We combine technology, data, and pedagogy to build learning experiences that actually work in real classrooms. Within our Technology organisation, you’ll join a large, cross-cultural engineering community - and help shape how AI is used in education across Europe. Role Responsibilities

• You’ll build real prototypes — not slides or isolated demos
• You’ll work at the intersection of product, AI, and engineering
• You’ll move fast — but with awareness of what it takes to scale
• You’ll help shape how agentic AI is used across our products
• You’ll influence both what we build and how we build it
• And most importantly: your work won’t stay local — it will feed into our broader AI Engineering ecosystem

What you’ll be doing (why this role is exciting)

• Turning product concepts into working AI prototypes (POCs) in days/weeks
• Designing agentic workflows (multi-step reasoning, tool use, orchestration)
• Integrating AI into real product environments (APIs, data, existing systems)
• Balancing speed vs scalability — building fast, but not creating dead ends
• Evaluating what’s worth scaling — and what should stop at POC
• Contributing reusable patterns to our AI Engineering CoE

Must-have Requirements

• 5+ years in software engineering (Python, PHP, or Java)
• Strong experience with APIs, integrations, and modern architectures
• Hands-on experience with LLMs (GenAI features, prompt design, tool calling)
• Ability to quickly translate ideas into working prototypes
• Comfortable working with ambiguity and fast iteration cycles
• Strong collaboration skills across product, UX, and engineering
• Fluent in English

Nice-to-have Requirements

• Experience with agentic frameworks / orchestration patterns
• Experience with RAG / vector databases
• Familiarity with observability & evaluation for LLM systems
• Exposure to AI-related security / compliance topics
• Frontend experience with any modern framework (e.g., React, Angular, Vue)
• Experience in EdTech or user-facing products
• Degree in Computer Science, Software Engineering, or equivalent practical experience

What We Offer

• B2B contract for an indefinite period
• Work-life balance and a supportive, informal atmosphere
• Opportunities for professional growth
• Work on real AI-driven product initiatives (not demos)
• Build and experiment with GenAI and agentic solutions
• Influence how AI is designed, built, and scaled
• Hands-on experience with modern AI stack (LLMs, APIs, integrations)
• Work at the intersection of engineering, product, and AI
• Collaborate with cross-functional, international teams
• Contribute to products with real impact on digital education