Full-Stack Engineer with AI Development Focus

We are seeking a versatile Full-Stack Engineer to join our team. This role combines robust software engineering skills with a growing focus on AI development offering the opportunity to work across the stackfrom front-end interfaces to back-end services and intelligent systems.

You will be building scalable applications using .NET Python and Angular while also contributing to the design and implementation of AI-powered features that enhance our products and services.

Key Responsibilities

• Design develop and maintain full-stack web applications using Angular (front-end) and .NET/Python (back-end).
• Collaborate with cross-functional teams to define design and ship new features.
• Integrate AI/ML models into production systems working closely with data scientists and AI engineers.
• Package deploy and manage applications using Docker and containerization best practices.
• Build and consume RESTful APIs and microservices.
• Ensure code quality through unit testing integration testing and code reviews.
• Optimize application performance and scalability.
• Stay current with emerging technologies and propose innovative solutions.

Qualifications :

• Bachelors or Masters degree in Computer Science Engineering or related field.
• 3 years of experience in full-stack development.
• Strong proficiency in:
  • Front-end: Angular TypeScript HTML/CSS
  • Back-end: .NET (C#) Python
  • Databases: SQL Server PostgreSQL Mongo or similar
• Experience with AI/ML frameworks (e.g. TensorFlow PyTorch scikit-learn).
• Familiarity with cloud platforms (Azure AWS).
• Understanding of CI/CD pipelines and DevOps practices.

  Required Soft Skills

• Problem-solving mindset: Ability to break down complex challenges and propose effective solutions.
• Communication skills: Clear and concise communication with technical and non-technical stakeholders.
• Team collaboration: Strong interpersonal skills and a collaborative attitude in cross-functional teams.
• Adaptability: Comfortable working in a fast-paced evolving environment with changing priorities.
• Curiosity and learning agility: Eagerness to explore new technologies especially in AI and machine learning.
• Accountability: Ownership of tasks and commitment to delivering high-quality work.

• Nice to Have

• Experience deploying AI models in production environments.
• Knowledge of MLOps practices.
• Exposure to data engineering and data pipelines.
• Contributions to open-source projects or technical communities.
• IoT Protocols & Messaging: Experience with protocols like MQTT AMQP CoAP or WebSockets for device-to-cloud and device-to-device communication.

Additional Information :

At Schréder we commit ourselves to co-creating an environment where passionate people work and win together learn and have fun. Let Join us!

We would like to hear from you if you have any feedback about our recruitment process. Please email us at  

Remote Work :

No

Employment Type :

Full-time