Introduction
As a Developer for our Generative AI initiatives, you will play a pivotal role in designing, developing, and deploying advanced AI-driven learning and
knowledge solutions. Leveraging IBM's watsonx platform and state-of-the- art pretrained models such as Granite, Mistral, and Llama 3, you will
build scalable, secure, and efficient applications on the IBM Cloud infrastructure. Collaborating closely with Solution Architects, Lead Developers, Data Scientists, UX/UI Designers, and other stakeholders, you will contribute to delivering high-impact solutions that drive innovation
within IBM.

Your Role and Responsibilities

What would be your responsibilities?

• Design, implement, and fine-tune generative AI models using pretrained models like Granite, Mistral, and Llama 3 within the watsonx framework.
• Integrate AI models into applications, ensuring seamless functionality and optimal performance.
• Customize pretrained models to meet specific project requirements, enhancing their capabilities as needed.
• Write clean, efficient, and maintainable code for AI-driven applications, APIs, and user interfaces using best practices.
• Participate in both front-end and back-end development tasks, ensuring cohesive and functional software solutions.
• Design and implement RESTful APIs to facilitate communication between different components of the AI solutions.
• Deploy AI solutions on IBM Cloud, leveraging cloud-native services for compute, storage, networking, and AI-specific offerings.
• Utilize tools like Terraform or Ansible to manage and automate cloud infrastructure deployments.
• Ensure applications are scalable and perform efficiently on IBM Cloud infrastructure, optimizing resource usage and costs.
• Work closely with Solution Architects, Lead Developers, Data Scientists, UX/UI Designers, and other team members to integrate AI components seamlessly into the overall solution.
• Actively participate in Agile/Scrum ceremonies, including sprint planning, daily stand-ups, and retrospectives to ensure project alignment and continuous improvement.
• Share knowledge and expertise with team members, fostering a collaborative and innovative development environment.
• Maintain high standards of code quality through regular code reviews, adherence to coding standards, and implementation of best practices.
• Develop and execute unit, integration, and system tests to ensure the reliability and robustness of AI solutions.
• Identify, diagnose, and resolve software defects and performance issues in a timely manner.
• Implement security best practices in the development lifecycle, ensuring that solutions comply with IBM's security policies and industry standards.
• Ensure that data handling within AI solutions adheres to data privacy regulations and best practices

• Salary starting from 2,100 EUR gross, depending on relevant experience
• Additional Days Off
• Flexible Working Conditions
• 100% Paid Sick Leave
• Critical Illness Insurance, Life & Disability insurance, Medical Center
• Personal & Career Development
• And many more: http://ibm.biz/benefits_IBM

• Minimum 3+ years in software development, with significant experience in developing and deploying AI/ML solutions.
• Hands-on experience with IBM's watsonx platform and IBM Cloud infrastructure.
• Proven experience working with generative AI models and integrating pretrained models into applications.

• Proficiency in languages such as Python, Java, or JavaScript relevant to AI development.
• Strong experience with AI/ML frameworks like TensorFlow, PyTorch, and their application in generative models.
• Experience in deploying and fine-tuning models like Granite, Mistral, and Llama 3.
• Proficiency with IBM Cloud services, including compute, storage, networking, and AI-specific offerings.
• Familiarity with CI/CD pipelines, version control systems (e.g., Git), and containerization tools (e.g., Docker, Kubernetes).
• Strong understanding of RESTful API design and implementation.
• Experience with both SQL and NoSQL databases relevant to AI applications.
• Basic understanding of cloud security best practices, data encryption, and compliance standards.

• Ability to work collaboratively in a cross-functional team environment.
• Excellent verbal and written communication skills, with the ability to convey complex technical concepts to diverse audiences.
• Strong analytical and problem-solving abilities to address technical challenges effectively.
• Excellent organizational skills with the ability to manage multiple priorities and meet deadlines.
• Ability to thrive in a fast-paced, dynamic environment and adapt to changing project requirements.
• High level of accuracy and attention to detail in all aspects of development and documentation.