Entry Level SW Developer | AI Center of Excellence 2027

IBM; Markham; On-site; GBP 30,000 - 45,000; Full time

Job summary

IBM is seeking an entry-level AI Software Engineer to join the AI Center of Excellence. You’ll design, develop, and deploy AI-powered features on IBM Cloud, collaborating with cross-functional teams to deliver impactful solutions.

You will work with Watsonx, Granite, and related tools, keep up with generative AI trends, participate in agile ceremonies, and grow through hands-on projects that matter to clients worldwide.

Qualifications

• Experience as a full stack developer with a focus in AI and an understanding of backend languages (Node.js, Python, Java).
• Experience in web technologies (HTTP, REST, JSON, HTML, Ajax, JavaScript) and AI/ML frameworks like PyTorch, Hugging Face, or OpenAI API.
• Understanding of LLM prompt engineering and retrieval‑augmented generation (RAG).
• Experience with Git and CI/CD pipelines for efficient development workflows.
• Strong communication in English and collaboration with design/engineering teams.

Responsibilities

• Design, develop, and test AI applications and services.
• Write clean, efficient, and well‑documented code following best practices.
• Follow security best practices in development to meet IBM’s policies and industry standards.
• Communicate progress, challenges, and technical decisions effectively to stakeholders.
• Participate in agile/scrum ceremonies and contribute to sprint planning, standups, and retrospectives.
• Collaborate with technical account managers, UX/UI designers, architects, and other developers to integrate AI components.
• Stay updated on emerging trends in generative AI, IBM Cloud services, and relevant technologies.

Skills

Full stack dev

Backend languages

Web tech

AI/ML frameworks

LLM prompt engineering

RAG techniques

Git

CI/CD

English comms

Education

Master's Degree

Tools

Docker

Kubernetes

Maven/Gradle

JUnit/Selenium/Puppeteer

Job description

Introduction As an IBM entry-level developer, you’ll gain hands‑on experience working on meaningful projects that create value for users around the world. You’ll collaborate with experienced designers and developers to build responsive, user‑centered applications using modern technologies, while contributing your own ideas, perspectives, and technical skills. We value individuals who are curious, proactive, and willing to challenge conventional thinking to drive better outcomes.

Introduction As an IBM entry-level developer, you’ll gain hands‑on experience working on meaningful projects that create value for users around the world. You’ll collaborate with experienced designers and developers to build responsive, user‑centered applications using modern technologies, while contributing your own ideas, perspectives, and technical skills. We value individuals who are curious, proactive, and willing to challenge conventional thinking to drive better outcomes. At IBM, work is more than a job, it's an opportunity to create, innovate, and solve complex problems alongside some of the brightest minds in technology. As part of a collaborative and inclusive community, you’ll help develop solutions that make a real impact for clients and communities worldwide. If you’re ready to learn, grow, and help shape the future of technology, we’d love to hear from you.

Your Role And Responsibilities

As a Developer at IBM, you’ll help build the technologies powering the quantum revolution and the next generation of AI. Join a team of innovators who turn bold ideas into real‑world solutions through creativity, curiosity, and continuous learning, delivering impact on some of the industry’s most trusted platforms.

The AI Center of Excellence is seeking a skilled AI Software Engineer to join our team. In this role, you will design, develop, and implement advanced AI solutions using IBM’s Watsonx platform and pretrained models like Granite. You will build scalable and secure applications on IBM Cloud, collaborating with Technical Account Managers, Solution Architects, UX/UI Designers, and other developers to deliver innovative, high‑impact solutions.

• Design, develop, and test AI applications and services.
• Write clean, efficient, and well‑documented code following best practices.
• Follow security best practices in development to meet IBM’s policies and industry standards.
• 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.
• Collaborate with technical account managers, UX/UI designers, architects, and other stakeholders to integrate AI components seamlessly into the overall solution.
• Stay updated on emerging trends in generative AI, IBM Cloud services, and relevant technologies.

Preferred Education

Master's Degree

Required Technical And Professional Expertise

Minimally, the incumbent will possess:

• Experience as a full stack developer with a focus in AI and an understanding of backend technologies, including server‑side languages (Node.js, Python, Java) and databases (Cassandra, PostgreSQL, etc.)
• Experience in web technologies: HTTP, REST, JSON, HTML, Ajax, JavaScript etc as well as a familiarity with AI/ML frameworks like PyTorch, Hugging Face, or OpenAI API
• An understanding of LLM prompt engineering and retrieval‑augmented generation (RAG) techniques
• Experience with version control systems (Git) and CI/CD pipelines for efficient development workflows
• Strong analytical and problem‑solving abilities to address technical challenges effectively
• Strong collaboration skills, having worked effectively with design and engineering teams to include effective verbal & written communication skills in English

Candidates must ensure their graduation date falls before their start date at IBM.

Preferred Technical And Professional Experience

The ideal candidate will also have experience with or a working knowledge of:

• The IBM watsonx product portfolio and IBM Cloud Infrastructure
• Experience in deploying and fine‑tuning models like Granite, Mistral, or Llama 3
• Hands‑on experience with containerization tools like Docker or Kubernetes
• Understanding of the micro‑services architecture and modern cloud programming practices
• Experience in using messaging brokers like RabbitMQ, Kafka etc
• Operating Systems (such as Red Hat, Ubuntu, etc.)
• Experience with build tools like Maven/Gradle and experience with automated testing (JUnit, Selenium and/or Puppeteer)