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 products that's 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 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.