Job
Description
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: Weâve built products thatâs already making waves: 400+ pilot business users Featured on Product Hunt Twice in less than 1 month Recognised as one of the Europe's Best 30 Early-Stage B2B Startups Your 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 engineering Experience with analytics pipelines (ETL/ELT) and time-series data Ability to build and query usage scoring systems (e.g., engagement or readiness models) Proficiency with relational databases (PostgreSQL preferred); 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 Run Skilled 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 engineering Expertise in tracking and transforming event data at the account/user level Experience with analytics pipelines (ETL/ELT) and time-series data Ability to build and query usage scoring systems (e.g., engagement or readiness models) Proficiency with relational databases (PostgreSQL preferred); 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 Run Skilled 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 youâre ready to take on this challenge and shape the future of AI-driven business intelligence tools, weâd love to hear from you! Apply now and help us build something extraordinary. Show more Show less
