Senior Software Engineer

About the role

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. 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). 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.

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