AI Application Engineer | MLOps

We are seeking an experienced AI application engineer to join our dynamic team. While prior experience in the AI domain is not mandatory, this position presents a unique opportunity for talented engineers to expand their skill set and grow in the exciting field of artificial intelligence. As an AI application engineer, you will collaborate with cross-functional teams and have the chance to work on projects that integrate AI technologies, contributing to the development of cutting-edge AI-driven applications, to their deployment and to their operation. Strong interpersonal skills, including teamwork and effective communication, are highly valued in our collaborative work environment.
Not a 100% match? No worries! 7 Sensing Software supports your personal growth and helps you to develop new skills if required.

  • Design, develop, and maintain AI web applications using modern front-end and back-end technologies.
  • Collaborate with product managers, and data scientists to implement AI-related features and functionalities.
  • Write clean, efficient, and well-documented code.
  • Implement intuitive, responsive, and visually appealing user interfaces.
  • Ensure the technical feasibility of UI/UX designs.
  • Optimize applications for speed, scalability, and AI processing requirements.
  • Perform thorough testing and debugging to ensure proper functionality and performance.
  • Deploy and monitor applications, ensuring that applications runs correctly, and that the model’s accuracy does not drift.
  • Foster a positive team dynamic, actively participating in collaborative discussions and sharing knowledge.
  • Clearly communicate technical concepts and ideas to both technical and non-technical team members.
  • Proactively seek and help, support, and mentorship within the engineering team.
  • Keep up to date with emerging technologies, including AI advancements and industry trends.

  • Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent experience).
  • Proven experience as a developer or data engineer, demonstrating strong technical skills.
  • Proficiency in front-end technologies such as HTML5, CSS3, JavaScript, and popular JavaScript frameworks (e.g., React, Angular, Vue.js).
  • Proficient in back-end technologies such as Node.js, Express.js, and database systems (e.g., MySQL, MongoDB).
  • Experience with version control systems (e.g., Git) and collaborative development workflows.
  • Strong problem-solving and analytical skills.
  • Familiarity with DevOps practices and tools (e.g., Docker, Kubernetes, CI/CD pipelines) in the context of AI projects.
  • Excellent communication and teamwork abilities, with a collaborative mindset.
  • Ability to handle multiple projects and meet deadlines.
  • Fluent in spoken and written English.

Additional Skills that could make the difference:

  • Familiarity with AI concepts, algorithms, and frameworks (e.g., TensorFlow, PyTorch).
  • Understanding of machine learning and its potential applications.
  • Knowledge of cloud platforms and services (e.g., AWS, Azure, Google Cloud) in the context of AI applications.
  • Understanding of web security principles and best practices.
  • Knowledge in data management.
  • Experience with data visualization libraries (e.g., D3.js, Highcharts).
  • Passion for learning and growing in the AI domain.
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