Senior Software Engineer - Python Backend & AI Infrastructure

Your new job You aren't just looking for a job; you're looking for a stage for your entrepreneurial mindset and your drive to get things moving—and you want to be part of an ambitious team aiming to achieve great things together? Then we should talk. At credium, we are building Europe's leading platform for building data—AI-first, with a clear goal: Homeownership should be exciting, not overwhelming. To achieve this, we enhance open data with AI to make real estate financing faster, simpler, and more sustainable. Why this role matters You'll be a senior engineer on the team responsible for the Python backend that powers our AI-driven processing platform in production. Beyond orchestrating LLMs, computer vision, and other ML systems, these services run core domain logic, integrate data from a range of sources, and expose the APIs that serve real customer workloads at scale. These systems are how our customers actually experience credium—when they're fast, reliable, and accurate, the whole product works. You'll have a direct hand in making that true. What You'll Do Own core systems and their architecture, the production environment, and the platform's reliability, scalability, and performance—consistently delivering high-quality featuresDrive optimization of resource usage and cost, using monitoring and load-testing data to guide engineering decisions across the teamWork closely with machine learning engineers and backend developers to bridge the gap between AI models and production-ready softwareDrive discussions with multiple stakeholders and lead cross-team technical alignment and delivery What We’re Looking For Several years building and operating Python backend services in production, with deep Python fundamentals and strong experience building APIs (FastAPI or similar)A proven track record designing, owning, and scaling resilient distributed systems — including event-driven pipelines with messaging/task-queue systems (Kafka, RabbitMQ, Celery, etc.), performance optimization, and load testing at scaleHands-on experience with cloud platforms (Azure, GCP, or AWS) and containerization (Docker, Kubernetes)Experience integrating or operating LLMs or other ML models in productionStrong experience with observability (logging, metrics, dashboards) and debugging complex production issuesAbility to take end-to-end ownership of Python development, drive stakeholder discussions, and align delivery across teamsStrong problem-solving skills, genuine curiosity about how systems behave in production, and good written and spoken EnglishExperience working in an ISO 27001 / GDPR-compliant environment is a plus How We Work We’re not building a lifestyle business. We’re building a company that matters. We're an AI-first team, using machine learning and intelligent systems across our workflows - from building data extraction to product recommendations. We believe in high trust, high standards, and high impact. We support flexibility, but we don’t optimize for 9-to-5. Instead, we look for individuals who take ownership, thrive on challenge, and want to grow with us. What We Offer Competitive salary + Virtual Stock Options (VSOPs)Autonomy & responsibility from day oneRemote-friendly & flexible work environmentYour own gear + access to modern toolsExtras like WellpassReal-world impact - accelerate how Europe finances and transforms its residential building stock Hiring process Brief async intro / short callTeam interview (skills & mindset)Case or challengeFounder chat & offer We move fast - and give clear feedback. Ready to help transform buildings into better places to live, own, and finance? Let’s talk. About Us At credium, we’re on a mission to make owning the new renting - by building the digital infrastructure that powers simple and sustainable homeownership. We enable mortgage banks, property owners, and real estate professionals to understand buildings better and faster - from floor plans to energy efficiency, from renovation potential to solar readiness. We're a VC-funded startup with major banks as customers and a purpose that matters.