Complexio’s Foundational AI platform automates business processes by ingesting and understanding complete enterprise data—both structured and unstructured. Through proprietary models, knowledge graphs, and orchestration layers, Complexio maps human-computer interactions and autonomously executes complex workflows at scale.
Established as a joint venture between Hafnia and Símbolo—with partners including Marfin Management, C Transport Maritime, BW Epic Kosan, and Trans Sea Transport—Complexio is redefining enterprise productivity through context-aware, privacy-first automation.
The project focuses on enhancing business processes through the use of artificial intelligence and advanced technologies. It enables intelligent data handling and supports automated decision-making. Built with modern, high-performance solutions, it ensures efficiency, security, and scalability.
Requirements
Qualifications
- 5+ years of experience in software development.
- Strong experience with Python.
- Experience with vanilla JavaScript.
- Experience with relational databases (PostgreSQL) and KV stores (Redis).
- Experience in cloud platform (Azure / AWS / GCP).
- Experience with CI/CD pipelines and tools like GitHub Actions.
- Strong understanding of event-driven systems and distributed architectures.
- Experience with containerization tools (Docker / Podman) and orchestration platform (Kubernetes).
- English min B2.
Nice to have
- Experience with graph databases (Neo4j) and vector databases (Milvus).
- Experience with NLP libraries and frameworks (spaCy / Transformers).
- Proficiency in compiled languages (Rust, Go, Java, C#).
- Experience with machine learning concepts and the ability to work with NLP datasets.
- Experience in building web applications using modern frameworks (React, Vue.js) or desktop applications (Electron, Tauri).
Benefits
- Join a pioneering joint venture at the intersection of AI and industry transformation.
- Work with a diverse and collaborative team of experts from various disciplines.
- Opportunity for professional growth and continuous learning in a dynamic field.