AI Engineer

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

• AI Development and Implementation:
• Design, develop, and deploy cutting-edge AI solutions using GenAI technologies.
• Implement and optimize Large Language Models (LLMs) for texts, image and other data.
• Leverage Retrieval-Augmented Generation (RAG) techniques to enhance AI-driven insights and decision-making.
• Enterprise Software Integration:
• Integrate AI models with Enterprise Software to build high-quality AI use-cases.
• Develop custom AI algorithms and AI Agents.
• Solution Optimization and Integration:
• Fine-tune NLP models to align with domain-specific needs and improve accuracy.
• Collaborate with cross-functional teams to integrate AI solutions into enterprise workflows.
• Mentorship and Leadership:
• Mentor junior developers on AI best practices, tools, and frameworks.
• Lead brainstorming sessions to explore innovative AI applications and solutions.
• Research and Innovation:
• Stay updated with the latest advancements in AI, GenAI, LLMs, and RAG to continuously enhance systems.
• Conduct proof-of-concept projects to evaluate emerging technologies for business use cases.
  

Preferred Education

Master's Degree

Required Technical And Professional Expertise

• 5+ years of experience.
  
  

Programming Expertise

• Proficient in Python with demonstrated experience in AI and ML development. Knowledge of vector database.

• AI Agents, GenAI and LLMs:
• Strong expertise in GenAI concepts, including the design, deployment, and optimization of Large Language Models (LLMs) and design AI Agents.
• NLP Skills:
• Advanced knowledge of NLP techniques for text analysis, summarization, and contextual understanding.
• RAG Expertise:
• Hands-on experience with Retrieval-Augmented Generation (RAG) to enhance knowledge retrieval systems.
• Tools and Frameworks:
• Proficiency with AI frameworks like TensorFlow, PyTorch, Hugging Face, or similar.
• Familiarity with cloud platforms (AWS, Azure, GCP) for deploying AI solutions.
  
  

Preferred Technical And Professional Experience

• DevOps and MLOps:
• Knowledge of deploying AI models in production environments using MLOps best practices.
• Data Engineering:
• Familiarity with data preparation, preprocessing pipelines, and working with unstructured datasets.
• Agile Methodologies:
• Experience working in Agile development environments for iterative delivery.
• Soft Skills:
• Strong problem-solving skills, attention to detail, and ability to communicate complex concepts to technical and non-technical stakeholders.