Full Stack Engineer

Welcome to Rhesis AI where were 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

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 AIdriven 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 crossfunctional teams to integrate frontend and backend components with AI systems for seamless user experiences.
• Optimize data pipelines and systems to handle realtime and nearrealtime data for efficient AI model deployment and inference.
• Architect and implement cloudnative solutions to ensure the platforms 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 cuttingedge.
• 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 frontend and Node.js Python or Java for the backend.
• Strong experience with database technologies: SQL and NoSQL (PostgreSQL MongoDB etc.) including schema design and optimization.
• Proficiency in cloud services: Handson 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 frontend and backend 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 endusers.
• Experience with MLOps or DataOps tools and principles to streamline model deployment and operations within the platform.
• Familiarity with realtime 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 problemsolving expertise: Comfortable breaking down complex problems into modular scalable solutions.
• Proficiency with modern development practices and tools: Version control (Git) CI/CD pipelines and containerbased development.
• Knowledge of cloudnative 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 worklife 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.

Diversity and Inclusion:

At Rhesis AI we value diversity and inclusion believing that diverse perspectives enrich our team and drive innovation. We encourage applications from individuals of all backgrounds regardless of gender nationality religion or other personal characteristics. Even if you dont meet every requirement listed we encourage you to applyyour unique skills and experiences could be exactly what we need to succeed.

Ready to Join Us

If youre passionate about full stack development excited by the prospect of working with cuttingedge AI technology and committed to making AI responsible wed love to hear from you!

Apply now and help us build solutions that shape the future of AI!