Introduction

A career in IBM Software means you'll be part of a team that transforms our customer's challenges into solutions.

Seeking new possibilities and always staying curious, we are a team dedicated to creating the world's leading AI-powered, cloud-native software solutions for our customers. Our renowned legacy creates endless global opportunities for our IBMers, so the door is always open for those who want to grow their career.

We are seeking a skilled Software Developer to join our IBM Software team. As part of our team, you will be responsible for developing and maintaining high-quality software products, working with a variety of technologies and programming languages.

IBM's product and technology landscape includes Research, Software, and Infrastructure. Entering this domain positions you at the heart of IBM, where growth and innovation thrive.

Your Role And Responsibilities

The IBM Asset lifecycle management (ALM) software business unit is seeking talented and motivated Software Developers to work on the IBM Maximo Application Suite (MAS) family of products. In this role as a Backend/Fullstack GenAI developer, you will closely collaborate with other developers, UX designers and product managers using Scrum agile methodology, to develop new product capabilities and enhance existing features of the MAS applications. This is an exciting opportunity to work on an industry leading Enterprise Asset Management suite of products, together with a large and international team of very talented engineers

Required Technical And Professional Expertise

8+ years experience in software development
3-5 years of working experience with Python/JAVA/JavaScript, other languages also considered.
Hands-on experience with big data technologies (e.g., Spark, Ray) and deep learning frameworks (PyTorch, Tensorflow, Keras, SQL and Python, CI/CD and Docker essentials
Hands-on experience building libraries and packages to be re-used by others
Hands-on experience building AI Solutions for production usage
Excellent understanding of machine learning techniques and algorithms and their drawbacks
Expertise in building solutions using LLMs and other ML techniques.
Design and implement Agentic AI workflows leveraging frameworks such as LangChain ReAct to orchestrate multi-step reasoning and decision-making.
Develop integration patterns and automation pipelines to enable seamless orchestration of agents, data services, and APIs within scalable architectures.
Expertise in vision, language models, optimization, or advanced machine learning techniques and large language models
Experience in delivering advanced analytical projects to large, complex organizations in a multi-functional environment.
Able to challenge and review the quality and value generated from analytical outputs

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