AI Engineer

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Complexio

11 - 50 employees

🤖 Artificial Intelligence

☁️ SaaS

🏢 Enterprise

Artificial Intelligence • SaaS • Enterprise

Complexio is a company specializing in foundational artificial intelligence solutions designed for task automation using whole company data. Headquartered in London, they also have offices in Copenhagen and Monaco. Complexio is focused on leveraging AI technologies to enhance efficiency and automate processes within organizations. They prioritize data privacy and consent management, ensuring compliance with international data protection standards.

📋 Description

• 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

• 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. • 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 datasets.

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