Software Engineer, Cloud Engineer - Software, AI Engineer

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 (Postgre

SQL preferred);
Familiarity with real-time data delivery (web sockets, 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 Graph

QL)
Strong understanding of event-driven architecture and message queues (e.g., Kafka, Pub/Sub, Rabbit

MQ)

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, Mongo

DB, and Open API.
AI:
OpenAI, Gemini, Lang Chain, 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 (Postgre

SQL preferred);
Familiarity with real-time data delivery (web sockets, 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 Graph

QL)
Strong understanding of event-driven architecture and message queues (e.g., Kafka, Pub/Sub, Rabbit

MQ)

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.