Job Title

Are you passionate about building cutting-edge AI-powered business intelligence platforms from the ground up? Join our early-stage AI startup as a Software Engineer and shape the future of business intelligence tools.About Us:We’ve built a prototype that’s already making waves:400+ pilot business usersFeatured on Product Hunt Twice in less than 1 monthRecognised as one of the Europe's Best 30 Early-Stage B2B StartupsYour Role:Collaborate with the lead engineer to develop our AI software platform.Manage AI integrations, API integrations, and prompt engineering.Develop with the latest AI technologies and real-time web browsing agents.Develop features for web scraping, multi-source data extraction, and monitoring.Ensure scalability, efficiency, and performance using the latest tech stacks.Requirements:At least 3 years of experience in web-based SaaS and software development with tech stacks including Node.js, Nest.js, and Python.Experience with data engineeringExperience with analytics pipelines (ETL/ELT) and time-series dataAbility to build and query usage scoring systems (e.g., engagement or readiness models)Proficiency with relational databases (PostgreSQL preferred); some experience with NoSQL (e.g., Redis)Familiarity with real-time data delivery (websockets, polling APIs)Experience with cloud infrastructure (AWS or GCP), including services like S3, Lambda, Cloud Functions, or Cloud RunSkilled in API development and design (REST and/or GraphQL)Strong understanding of event-driven architecture and message queues (e.g., Kafka, Pub/Sub, RabbitMQ)Experience with microservices architecture and containerization (Docker, Kubernetes)Proven experience integrating AI development stacks and tools.Tech stack familiarity:Backend: Node.js, Nest.js, Python, MongoDB, and Open API.AI: OpenAI, Gemini, LangChain, APIs, Fine-Tuning Methods, Prompt Engineering, and advanced techniques.Cloud & Infrastructure: AWS; experience with Docker, Kubernetes, and CI/CD pipelines.Familiarity with AI integrations, prompt engineering, and data engineering concepts and pipelines.Passion for innovation and working in a fast-paced, startup environment.Experience with data engineeringExpertise in tracking and transforming event data at the account/user levelExperience with analytics pipelines (ETL/ELT) and time-series dataAbility to build and query usage scoring systems (e.g., engagement or readiness models)Proficiency with relational databases (PostgreSQL preferred); some experience with NoSQL (e.g., Redis)Familiarity with real-time data delivery (websockets, polling APIs)Experience with cloud infrastructure (AWS or GCP), including services like S3, Lambda, Cloud Functions, or Cloud RunSkilled in API development and design (REST and/or GraphQL)Strong understanding of event-driven architecture and message queues (e.g., Kafka, Pub/Sub, RabbitMQ)Experience with microservices architecture and containerization (Docker, Kubernetes)Why join us?Opportunity to join the development of a groundbreaking platform.Work in a high-impact role at the forefront of AI and business intelligence.If you’re ready to take on this challenge and shape the future of AI-driven business intelligence tools, we’d love to hear from you!Apply now and help us build something extraordinary.