Introduction
As the Lead Developer for our Generative AI initiatives, you will spearhead the development and implementation of 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. You will collaborate closely with Solution Architects, Data Scientists, UX/UI Designers, and other stakeholders to deliver high-impact solutions that drive innovation within IBM.

Your Role and Responsibilities

What would be your responsibilities?

• Oversee the end-to-end development lifecycle of generative AI-based solutions, ensuring timely and high-quality delivery.
• Write, review, and optimize code for AI models, APIs, user interfaces, and backend services using best practices.
• Provide technical direction and mentorship to the development team, fostering a culture of continuous improvement and innovation.
• Work closely with the Solution Architect to translate architectural designs into functional software components.
• Implement and fine-tune pretrained models such as Granite, Mistral, and Llama 3 within the watsonx framework.
• Leverage IBM's watsonx platform to enhance generative AI capabilities, ensuring optimal performance and scalability.
• Develop and deploy AI solutions on IBM Cloud, utilizing cloud-native services for compute, storage, networking, and AI-specific offerings.
• Collaborate with data scientists, UX/UI designers, product managers, and other stakeholders to integrate AI components seamlessly into the overall solution.
• Communicate progress, challenges, and technical decisions effectively to both technical and non-technical stakeholders.
• Participate in Agile/Scrum ceremonies, contributing to sprint planning, daily stand-ups, and retrospectives to ensure project alignment and continuous delivery.
• Ensure high standards of code quality through regular code reviews, automated testing, and adherence to coding standards.
• Develop and implement comprehensive testing strategies, including unit, integration, and system testing to ensure robust and reliable solutions.
• Optimize AI models and applications for performance, scalability, and cost-efficiency on IBM Cloud.
• Keep abreast of the latest advancements in generative AI, IBM Cloud services, and relevant technologies to continuously enhance the solutions.
• Identify and implement improvements in development processes, tools, and methodologies to increase team efficiency and product quality.
• Maintain comprehensive technical documentation, including code documentation, API specifications, and deployment guides.
• 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 3,200 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 5+ years in software development, with significant experience in leading development teams.
• Proven experience in developing and deploying AI/ML solutions, particularly generative AI models.
• Hands-on experience with IBM's watsonx platform and IBM Cloud infrastructure.

• 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.
• Expertise 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.
• Experience 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.
• Solid understanding of cloud security best practices, data encryption, and compliance standards.

• Proven ability to lead and mentor technical teams, fostering a collaborative and innovative 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.
• Ability to work collaboratively in a cross-functional team environment.
• Excellent organizational skills with the ability to manage multiple priorities and meet deadlines.
• High level of accuracy and attention to detail in all aspects of development and documentation