Full Stack Engineer

at  Rhesis AI GmbH

Welcome to Rhesis AI, where we’re passionate about making AI responsible. Our goal is to empower organizations with the right tools to navigate the complexities of AI and ensure their AI applications meet the highest standards of robustness, reliability and compliance. For this, we are developing a Continous Automated Assurance Solution.
To achieve our mission in which AI serves humanity responsibly, we need you!
Tasks

Important Skills

• Full stack development experience: Expertise in JavaScript/TypeScript with frameworks such as React, Angular, or Vue.js for the front-end, and Node.js, Python, or Java for the back-end.
• Strong experience with database technologies: SQL and NoSQL (PostgreSQL, MongoDB, etc.), including schema design and optimization.
• Proficiency in cloud services: Hands-on experience with cloud platforms like AWS, GCP, or Azure, including deploying and managing web applications in a cloud environment.
• API Development: Expertise in building and maintaining RESTful and GraphQL APIs for data communication between front-end and back-end services.
• Containerization and orchestration: Solid understanding of Docker, Kubernetes, and CI/CD pipelines to automate development workflows.
• Experience with CI/CD: Implementing continuous integration and delivery pipelines for smooth and fast deployments

Awesome Skills

• Experience integrating AI/ML models into web applications, ensuring performance and usability for end-users.
• Experience with MLOps or DataOps tools and principles to streamline model deployment and operations within the platform.
• Familiarity with real-time data processing technologies (e.g., Apache Kafka, Spark, or Databricks) for building robust data pipelines.
• Experience with infrastructure automation using Infrastructure as Code (e.g., Terraform, Ansible, or CloudFormation).
• Knowledge of DevOps principles to optimize cloud infrastructure, monitoring, and deployment strategies

Overall Skills

• Strong software engineering background: Ability to design, build, and maintain complex web systems from scratch, ensuring they meet high standards of performance and scalability.
• System design and problem-solving expertise: Comfortable breaking down complex problems into modular, scalable solutions.
• Proficiency with modern development practices and tools: Version control (Git), CI/CD pipelines, and container-based development.
• Knowledge of cloud-native development: Implementing scalable solutions in GCP, AWS, or Azure environments.
• Agile methodology: Experience working in agile teams, with a focus on continuous improvement and delivery

WHAT YOU WILL DO:

As a Full Stack Engineer at Rhesis AI, you will be a key contributor to the development and scaling of our AI-driven platform. Your responsibilities will include:

• Design, develop, and maintain highly scalable and responsive web applications that interact with AI models and data pipelines.
• Collaborate with cross-functional teams to integrate front-end and back-end components with AI systems for seamless user experiences.
• Optimize data pipelines and systems to handle real-time and near-real-time data for efficient AI model deployment and inference.
• Architect and implement cloud-native solutions to ensure the platform’s scalability, performance, and security.
• Participate in the entire development lifecycle, including requirement analysis, design, development, testing, and deployment of web applications.
• Stay current on emerging web technologies, ensuring the use of best practices and keeping our systems cutting-edge.
• Contribute to product innovation and roadmap by bringing creative solutions to complex problems and improving platform usability.

Requirements

YOU WILL THRIVE IN THIS ROLE IF YOU HAVE:

Important Skills

• Full stack development experience: Expertise in JavaScript/TypeScript with frameworks such as React, Angular, or Vue.js for the front-end, and Node.js, Python, or Java for the back-end.
• Strong experience with database technologies: SQL and NoSQL (PostgreSQL, MongoDB, etc.), including schema design and optimization.
• Proficiency in cloud services: Hands-on experience with cloud platforms like AWS, GCP, or Azure, including deploying and managing web applications in a cloud environment.
• API Development: Expertise in building and maintaining RESTful and GraphQL APIs for data communication between front-end and back-end services.
• Containerization and orchestration: Solid understanding of Docker, Kubernetes, and CI/CD pipelines to automate development workflows.
• Experience with CI/CD: Implementing continuous integration and delivery pipelines for smooth and fast deployments.

Awesome Skills

• Experience integrating AI/ML models into web applications, ensuring performance and usability for end-users.
• Experience with MLOps or DataOps tools and principles to streamline model deployment and operations within the platform.
• Familiarity with real-time data processing technologies (e.g., Apache Kafka, Spark, or Databricks) for building robust data pipelines.
• Experience with infrastructure automation using Infrastructure as Code (e.g., Terraform, Ansible, or CloudFormation).
• Knowledge of DevOps principles to optimize cloud infrastructure, monitoring, and deployment strategies.

Overall Skills

• Strong software engineering background: Ability to design, build, and maintain complex web systems from scratch, ensuring they meet high standards of performance and scalability.
• System design and problem-solving expertise: Comfortable breaking down complex problems into modular, scalable solutions.
• Proficiency with modern development practices and tools: Version control (Git), CI/CD pipelines, and container-based development.
• Knowledge of cloud-native development: Implementing scalable solutions in GCP, AWS, or Azure environments.
• Agile methodology: Experience working in agile teams, with a focus on continuous improvement and delivery.

Benefits
As part of our commitment to supporting our team members, we offer a range of benefits to applicants, including:
1. Comprehensive compensation package including shares: We offer salaries and benefits tailored to your experience and qualifications, along with the opportunity to gain ownership in the company.
2. Professional development opportunities: We offer resources and support for ongoing learning and career growth, including access to training programs, workshops, and conferences.
3. Flexible work arrangements: We understand the importance of work-life balance and offer flexible working arrangements to accommodate personal needs and preferences.
4. Social and community engagement: We encourage our employees to get involved in social and community initiatives.
5. A supportive and collaborative work environment: We foster a culture of teamwork, collaboration, and mutual respect, where every team member is valued and supported in their professional and personal growth.