Entry Level AI Software Engineer
IBM
Job Overview
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Job Description
Introduction
At IBM, work is more than a job - it's a calling: To build. To design. To code. To consult. To think along with clients and sell. To make markets. To invent. To collaborate. Not just to do something better, but to attempt things you've never thought possible. Are you ready to lead in this new era of technology and solve some of the world's most challenging problems? If so, let's talk.
Your Role And Responsibilities
The AI Center of Excellence is seeking a skilled Entry Level 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
Bachelor's Degree
Required Technical And Professional Expertise
- Experience as a full stack developer with a focus in AI
- Understanding of backend technologies, including server-side languages (Node.js, Python,Java, etc.) and databases (Cassandra, PostgreSQL, etc.)
- Experience in web technologies: HTTP, REST, JSON, HTML, Ajax, JavaScript etc.
- Familiarity with AI/ML frameworks like PyTorch, Hugging Face, or OpenAI API
- Basic 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
- Effective verbal and written communication skills in English
Preferred Technical And Professional Experience
- Hands on experience with the 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
- Experience with automated testing (JUnit, Selenium and/or Puppeteer)
- Experience with agile development methodologies
Key skills/competency
- AI Solution Development
- Full Stack Development
- IBM Watsonx Platform
- Cloud Application Security
- Generative AI Trends
- Agile Methodologies
- Backend Technologies
- Front-end Web Development
- LLM Prompt Engineering
- CI/CD Pipelines
How to Get Hired at IBM
- Research IBM's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor to align your application.
- Tailor your resume for AI: Customize your resume to highlight experience in full stack development, AI/ML frameworks, and cloud platforms relevant to IBM's AI initiatives.
- Showcase IBM Watsonx knowledge: Emphasize any direct experience or conceptual understanding of IBM Watsonx or similar enterprise AI platforms in your portfolio.
- Prepare for technical interviews: Practice problem-solving skills, backend/frontend technologies, and AI/ML concepts like LLM prompt engineering, which are crucial for IBM's technical assessments.
- Demonstrate collaboration and communication: Be ready to share examples of effective teamwork, agile methodology participation, and clear technical communication in your interviews at IBM.
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