Senior Full Stack Software Engineer

About the job

As a Senior Fullstack 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.

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 with JavaScript using popular front-end frameworks (e.g., React, Angular, or Vue.js)
  • 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 datasets.

Benefits

(Remote must be within 4-5 hours of CET timezone)