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Complexio

AI Engineer

Posted Yesterday
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In-Office or Remote
Hiring Remotely in Greece
Senior level
In-Office or Remote
Hiring Remotely in Greece
Senior level
Develop and maintain front-end and back-end AI-enabled web and desktop applications. Collaborate with cross-functional teams to design features, optimize scalability and security, troubleshoot defects, participate in code reviews, and implement AI assistant technology integrated with enterprise systems.
The summary above was generated by AI

Complexio is the intelligence layer for enterprise AI. Our platform builds a connected understanding of how businesses actually operate — across people, processes, and systems. 

Enterprises have invested heavily in AI platforms, copilots, and data infrastructure — yet daily work still runs on manual hand-offs and thousands of unseen tasks buried in emails, chats, and spreadsheets. Complexio closes that automation gap.  

Our Event Knowledge Graph ingests structured and unstructured data to create a living map of how an organisation truly works — every task, interaction, and dependency. Our Context Broker unifies this knowledge across enterprise systems in real time, enabling our Orchestration layer and Enterprise Automator to discover, design, and execute workflows autonomously. Stevie, our conversational AI assistant, gives teams a natural way to query and act on that intelligence. 


Complexio deploys securely within your infrastructure and integrates with the enterprise platforms you already run on — turning organisational knowledge into measurable business outcomes. 


A joint venture between Hafnia and Símbolo, backed by leading maritime partners including Marfin Management, C Transport Maritime, Trans Sea Transport, and BW Epic Kosan. Born in maritime, now scaling rapidly across industries.

As a Senior AI 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.

Key Responsibilities

  • Collaborate with cross-functional teams to develop key features and applications, including product managers, designers, and other engineers.
  • Design, develop, and maintain both front-end and back-end components of web applications, ensuring a seamless user experience.
  • Benchmark, analyze, and optimize web applications for scalability, security, and responsiveness.
  • Troubleshoot and resolve software defects and issues, ensuring high software quality.
  • Participate in code reviews, documentation, and the development of coding standards.

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).

Benefits
  • 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 datase

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