Full Stack Python Engineer

KONE is a global leader in the elevator and escalator industry, making people's journeys safe, convenient, and reliable with smart and sustainable People Flow®. In a world where cities are constantly evolving and more and more people choose to live in them, we at KONE stand with one clear aim: to shape the future of cities. We make urban life more vibrant and livable. And we do it by enabling safe, sustainable, and effortless people flow for all. We help cities leave a positive mark on the planet - for the next century and beyond. We shape the future of cities.

is where the magic happens at KONE. It's where we combine the physical world - escalators and elevators - with smart and connected digital systems. We are changing and improving the way billions of people move within buildings every day. We are on a mission to expand and develop new digital solutions that are based on emerging technologies.

brings together top talent from different disciplines into an industry-leading product and technology organization. We thrive in solving complex customer challenges, connecting legacy with the latest technologies across hardware and software engineering. In fact, roughly half of our R&D roles are in software. Agile ways of working mean that we are better able to meet our customers' rapidly evolving needs for speed and innovation, in a global environment. R&D unit in KTI is responsible for developing digital services at KONE. It's the development engine for our Digital Services such as KONE 24/7 Connected Services, Office Flow and Partnership Ecosystem. Our common goal at KONE is to keep the end users safe and people flow uninterrupted. KONE moves 2 billion people every day and that means our services can really make cities better places to live We are seeking a seasoned Senior Full-Stack Python Engineer with 5+ years of experience to design, build, and scale robust web applications. In addition to core full-stack capabilities, you will help us bridge the gap between traditional software engineering and next-generation AI features. The ideal candidate is a Python expert who is comfortable architecting scalable backends, building intuitive frontends, and has a foundational, working knowledge of Generative AI (e.g., integrating LLMs, prompt engineering, or using AI APIs) to help us inject smart capabilities into our product ecosystem.

· Backend Development: Design, develop, and maintain robust, scalable, and secure server-side logic using Python frameworks (FastAPI, Django, or Flask). · Frontend Integration: Create highly responsive, user-friendly UI components using modern JavaScript frameworks (React.js, Vue.js, or Angular). · GenAI Implementation: Integrate Generative AI capabilities into existing workflows, utilizing LLM APIs (OpenAI, Anthropic, or AWS Bedrock), managing prompt design, and working with vector databases for basic RAG (Retrieval-Augmented Generation) setups. · Database & Architecture: Design optimal database schemas (SQL/NoSQL), write efficient queries, and implement caching layers to ensure low-latency application performance. · CI/CD & Cloud: Deploy and manage applications within cloud environments (AWS/GCP/Azure), containerizing applications using Docker, and maintaining automated deployment pipelines. · Mentorship & Best Practices: Lead code reviews, enforce clean architectural patterns, write comprehensive unit/integration tests, and mentor junior-to-mid-level engineers.

· Deep expertise in at least one major Python web framework (preferably FastAPI or Django). · Strong understanding of asynchronous programming in Python (asyncio) and building RESTful or GraphQL APIs. · Strong proficiency in JavaScript/TypeScript and hands-on production experience with React.js, Vue.js, or Next.js. · Solid understanding of state management (Redux, Context API, Vuex) and modern CSS styling frameworks (Tailwind CSS, Styled Components). · Practical experience consuming LLM APIs and designing effective system prompts. · Proficiency with relational databases (PostgreSQL, MySQL) and NoSQL solutions (MongoDB, Redis). · Solid experience with Docker and cloud services (specifically AWS services like EC2, Lambda, or ECS). · Experience with Git and modern CI/CD tools (GitHub Actions, GitLab CI).

· Familiarity with orchestration frameworks like LangChain or LlamaIndex is a strong plus. · Basic understanding of vector embeddings and vector databases (e.g., Pinecone, Chroma, pgvector). · Familiarity with Groovy scripting, especially in Jenkins pipelines.