GEN AI Developer
IBM
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
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
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