Software Developer

Introduction

The IBM Chief Information Officer (CIO) organization drives IBM's enterprise technology strategy and digital transformation. The CIO Technology Platform Transformation (TPT) team builds AI-first platforms and intelligent engineering solutions that modernize enterprise IT, improve developer productivity, enhance operational excellence, and accelerate business innovation through Artificial Intelligence, Automation, Cloud, and Data.

Your Role And Responsibilities

As a Software Developer, you will work with experienced engineers to design, develop, test, and deploy AI-powered applications, intelligent automation solutions, and efficient and reliable software systems. You will contribute to projects involving Generative AI, Large Language Models (LLMs), AI Agents, Retrieval-Augmented Generation (RAG), Machine Learning, backend and web development, databases, cloud-native technologies, and software engineering while gaining hands-on experience building enterprise technology solutions.

What You'll Gain

• Hands-on experience building enterprise AI and software applications.
• Exposure to Generative AI, Agentic AI, intelligent automation, and modern software engineering practices.
• Experience working with cloud-native technologies, APIs, databases, and DevOps practices.
• Mentorship from IBM AI and Software Engineering experts.
• Experience contributing to production-grade AI and software solutions.
  
  

Key Responsibilities

• Collaborate with engineering teams to understand project requirements and build AI-enabled applications and services.
• Write clean, maintainable, well-organized, efficient, and well-tested code using modern programming languages and frameworks.
• Develop and integrate Generative AI solutions using Large Language Models (LLMs).
• Build AI Agents and Agentic AI workflows using modern AI frameworks.
• Design and implement Retrieval-Augmented Generation (RAG) solutions.
• Develop REST APIs, backend services, web applications, and AI integrations.
• Work with databases, SQL, and NoSQL technologies as required by projects.
• Conduct unit testing, debugging, troubleshooting, and participate in code reviews to ensure software quality and adherence to coding standards.
• Participate in CI/CD activities and work with version control systems such as Git.
• Build automation solutions to improve engineering productivity and streamline existing processes.
• Work with cloud-native technologies, containers, and DevOps practices.
• Communicate progress, issues, and suggestions to the tech team and stakeholders.
• Stay updated on emerging trends and technologies across AI and software development.
• Adhere to project timelines, deadlines, and applicable project requirements.
• Contribute to knowledge-sharing sessions and collaborate effectively in an Agile environment.
• Continuously learn and apply emerging AI and software engineering technologies.
  
  

Required Technical And Professional Expertise

• Pursuing B.E./B.Tech./M.Tech./MCA in Computer Science, AI, Data Science, IT, or related field.
• Strong programming skills in Python, Java, C++, or JavaScript.
• Knowledge of Data Structures, Algorithms, and Object-Oriented Programming.
• Basic understanding of Machine Learning and Generative AI.
• Knowledge of REST APIs and backend development.
• Knowledge of web development frameworks such as React, Angular, or Vue.js.
• Knowledge of databases, SQL syntax, and NoSQL databases such as MongoDB or PostgreSQL.
• Familiarity with Git, version control, CI/CD pipelines, and Agile software development.
• Strong analytical, problem-solving, verbal, and written communication skills.
• Ability to work independently and collaboratively in a fast-paced Agile environment.
  
  

Preferred Technical And Professional Experience

• Exposure to LLMs and Prompt Engineering.
• Experience with LangChain, LangGraph, LlamaIndex, or similar frameworks.
• Knowledge of RAG and Vector Databases such as FAISS, Pinecone, ChromaDB, or Milvus.
• Experience with AWS, Azure, IBM Cloud, or Google Cloud.
• Knowledge of Docker, Kubernetes, and CI/CD.
• Exposure to React, Node.js, Spring Boot, or FastAPI.