Senior Software Engineer

AI overview

Contribute to innovative AI applications, enhancing user experiences while collaborating with a diverse team of experts in a pioneering joint venture.

Complexio is Foundational AI. This works to automate business activities by ingesting whole company data – both structured and unstructured – and making sense of it. Using proprietary models and algorithms Complexio forms a deep understanding of how humans are interacting and using it. Automation can then replicate and improve these actions independently.

Complexio is a joint venture between Hafnia, in partnership with Marfin Management, C Transport Maritime, Trans Sea Transport and BW Epic Kosan and Símbolo

As a Senior Software Engineer with broad expertise, you will be a vital part of our team, developing innovative applications that leverage AI capabilities to enhance user experiences and streamline communication. You will work alongside a talented team of Data Scientists, DevOps, Product Managers, Business Analysts experts and play a key role in designing and implementing specialised AI assistant technology.

Requirements

You have:

Excellent problem-solving and technical skills.
Strong communication and collaboration skills, with the ability to work in a team.
Interest and experience in working on early-stage software and a wide range of tasks.
Proven experience using technology and how it helped you build a lasting product.

Requirements:

Preferred M.Sc or Ph.d degree in Computer Science or a related field.
7+ years of experience in Software development
Work experience using both compiled languages (Rust, Ocaml, Golang, Java, C#) or dynamic languages (Javascript, Python, Ruby)
Experience building web applications or desktop applications technologies such as Electron, tauri, React, Vue.js
Familiarity with CI/CD principles and technologies, including experience with GitHub Actions or similar.
Experience working with Relational and NoSQL databases such as Postgres, Redis, Neo4j, Milviousor MongoDB, and a good understanding of data consistency tradeoffs.
Proven Knowledge of cloud platforms (e.g., AWS, Azure, or GCP).

A bonus

Experience with graph databases such as neo4js, pinecone or milvious or similar.
Experience building native desktop apps.
Experience with NLP libraries and frameworks, such as spaCy, or Transformers.
Familiarity with machine learning concepts and the ability to work with NLP database

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.