Advisory Software Engineer
IBM
Advisory Software Engineer
Job Description
Advisory Software Engineer
📋 Job Overview
Join IBM's software engineering team to design, code, test, and deliver software for enterprise-level cloud solutions. Work on innovative projects using cutting-edge AI techniques and contribute to the development of high-quality, fully performing software. This role offers opportunities for growth and leadership within a dynamic, technology-driven environment.
📍 Location: Krakow, PL (Remote/Hybrid)
💼 Career Level: Professional
🎯 Key Responsibilities
- Participate on highly innovative projects leveraging cutting edge AI techniques
- Design, code, test and deliver software supporting and enhancing IBM's enterprise-level cloud solutions
- Build high-quality, innovative and fully performing software in compliance with coding standards and technical design
- Participate in requirements gathering, sprint planning, design and technical review to support overall achievement of business objectives
✅ Required Qualifications
- 3+ years of experience developing AI based solutions based on ML, NLP, NLU and NLG
- 3+ Years of programming experience with generative AI technologies such as LLMs, prompt engineering, RAG, AI Agents, and AI reasoning
- Experience in Java, JavaScript/TypeScript, React, HTML5, CSS3, NodeJS
- Proven ability building large-scale, highly interactive enterprise SaaS UIs
- Experience with continuous integration and deployment automation tools (CI/CD)
- Experience writing end-to-end tests using frameworks like Intern, Selenium
- Experience using build, deployment and development tools like Git, Travis, Jenkins, Yarn/NPM, Webpack/Gulp
⭐ Preferred Qualifications
- Familiarity with AI concepts such as NLP, NLQ and machine learning
- Familiarity with microservices, Docker, Kubernetes or other cloud technologies
- Familiarity with financial close and consolidation, or enterprise planning
- Experience with ES6/7, WebSockets, HTML 5, modular CSS, JSON
- Interest in team leadership with prior experience and ambitions to possibly grow into management
🛠️ Required Skills
- JavaScript
- React
- Java
- Agile methodologies
- Continuous delivery
- UI/Front-End development
- Machine Learning (ML)
- Natural Language Processing (NLP)
- Natural Language Understanding (NLU)
- Natural Language Generation (NLG)
- Generative AI
- Large Language Models (LLMs)
- Prompt engineering
- Retrieval-Augmented Generation (RAG)
- AI Agents
- AI reasoning
- TypeScript
- HTML5
- CSS3
- NodeJS
- Microservices
- Docker
- Kubernetes
- Cloud technologies
- Continuous Integration/Continuous Deployment (CI/CD)
- ES6/7
- WebSockets
- JSON
- Intern
- Selenium
- Git
- Travis
- Jenkins
- Yarn
- NPM
- Webpack
- Gulp
🎁 Benefits & Perks
- Opportunities for learning and career development
- Encouragement to be courageous and experiment daily
- Continuous trust and support in an environment where everyone can thrive
- Growth-minded culture with openness to feedback and learning
- Opportunity to collaborate and drive exceptional outcomes for customers
Locations
- Krakow, PL, India (Remote)
Salary
Estimated Salary Rangemedium confidence
2,500,000 - 4,200,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- JavaScriptintermediate
- Reactintermediate
- Javaintermediate
- Agile methodologiesintermediate
- Continuous deliveryintermediate
- UI/Front-End developmentintermediate
- Machine Learning (ML)intermediate
- Natural Language Processing (NLP)intermediate
- Natural Language Understanding (NLU)intermediate
- Natural Language Generation (NLG)intermediate
- Generative AIintermediate
- Large Language Models (LLMs)intermediate
- Prompt engineeringintermediate
- Retrieval-Augmented Generation (RAG)intermediate
- AI Agentsintermediate
- AI reasoningintermediate
- TypeScriptintermediate
- HTML5intermediate
- CSS3intermediate
- NodeJSintermediate
- Microservicesintermediate
- Dockerintermediate
- Kubernetesintermediate
- Cloud technologiesintermediate
- Continuous Integration/Continuous Deployment (CI/CD)intermediate
- ES6/7intermediate
- WebSocketsintermediate
- JSONintermediate
- Internintermediate
- Seleniumintermediate
- Gitintermediate
- Travisintermediate
- Jenkinsintermediate
- Yarnintermediate
- NPMintermediate
- Webpackintermediate
- Gulpintermediate
Required Qualifications
- 3+ years of experience developing AI based solutions based on ML, NLP, NLU and NLG (experience)
- 3+ Years of programming experience with generative AI technologies such as LLMs, prompt engineering, RAG, AI Agents, and AI reasoning (experience)
- Experience in Java, JavaScript/TypeScript, React, HTML5, CSS3, NodeJS (experience)
- Proven ability building large-scale, highly interactive enterprise SaaS UIs (experience)
- Experience with continuous integration and deployment automation tools (CI/CD) (experience)
- Experience writing end-to-end tests using frameworks like Intern, Selenium (experience)
- Experience using build, deployment and development tools like Git, Travis, Jenkins, Yarn/NPM, Webpack/Gulp (experience)
Preferred Qualifications
- Familiarity with AI concepts such as NLP, NLQ and machine learning (experience)
- Familiarity with microservices, Docker, Kubernetes or other cloud technologies (experience)
- Familiarity with financial close and consolidation, or enterprise planning (experience)
- Experience with ES6/7, WebSockets, HTML 5, modular CSS, JSON (experience)
- Interest in team leadership with prior experience and ambitions to possibly grow into management (experience)
Responsibilities
- Participate on highly innovative projects leveraging cutting edge AI techniques
- Design, code, test and deliver software supporting and enhancing IBM's enterprise-level cloud solutions
- Build high-quality, innovative and fully performing software in compliance with coding standards and technical design
- Participate in requirements gathering, sprint planning, design and technical review to support overall achievement of business objectives
Benefits
- general: Opportunities for learning and career development
- general: Encouragement to be courageous and experiment daily
- general: Continuous trust and support in an environment where everyone can thrive
- general: Growth-minded culture with openness to feedback and learning
- general: Opportunity to collaborate and drive exceptional outcomes for customers
Tags & Categories
Answer 10 quick questions to check your fit for Advisory Software Engineer @ IBM.
10 Questions
~2 Minutes
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Advisory Software Engineer
IBM
Advisory Software Engineer
Job Description
Advisory Software Engineer
📋 Job Overview
Join IBM's software engineering team to design, code, test, and deliver software for enterprise-level cloud solutions. Work on innovative projects using cutting-edge AI techniques and contribute to the development of high-quality, fully performing software. This role offers opportunities for growth and leadership within a dynamic, technology-driven environment.
📍 Location: Krakow, PL (Remote/Hybrid)
💼 Career Level: Professional
🎯 Key Responsibilities
- Participate on highly innovative projects leveraging cutting edge AI techniques
- Design, code, test and deliver software supporting and enhancing IBM's enterprise-level cloud solutions
- Build high-quality, innovative and fully performing software in compliance with coding standards and technical design
- Participate in requirements gathering, sprint planning, design and technical review to support overall achievement of business objectives
✅ Required Qualifications
- 3+ years of experience developing AI based solutions based on ML, NLP, NLU and NLG
- 3+ Years of programming experience with generative AI technologies such as LLMs, prompt engineering, RAG, AI Agents, and AI reasoning
- Experience in Java, JavaScript/TypeScript, React, HTML5, CSS3, NodeJS
- Proven ability building large-scale, highly interactive enterprise SaaS UIs
- Experience with continuous integration and deployment automation tools (CI/CD)
- Experience writing end-to-end tests using frameworks like Intern, Selenium
- Experience using build, deployment and development tools like Git, Travis, Jenkins, Yarn/NPM, Webpack/Gulp
⭐ Preferred Qualifications
- Familiarity with AI concepts such as NLP, NLQ and machine learning
- Familiarity with microservices, Docker, Kubernetes or other cloud technologies
- Familiarity with financial close and consolidation, or enterprise planning
- Experience with ES6/7, WebSockets, HTML 5, modular CSS, JSON
- Interest in team leadership with prior experience and ambitions to possibly grow into management
🛠️ Required Skills
- JavaScript
- React
- Java
- Agile methodologies
- Continuous delivery
- UI/Front-End development
- Machine Learning (ML)
- Natural Language Processing (NLP)
- Natural Language Understanding (NLU)
- Natural Language Generation (NLG)
- Generative AI
- Large Language Models (LLMs)
- Prompt engineering
- Retrieval-Augmented Generation (RAG)
- AI Agents
- AI reasoning
- TypeScript
- HTML5
- CSS3
- NodeJS
- Microservices
- Docker
- Kubernetes
- Cloud technologies
- Continuous Integration/Continuous Deployment (CI/CD)
- ES6/7
- WebSockets
- JSON
- Intern
- Selenium
- Git
- Travis
- Jenkins
- Yarn
- NPM
- Webpack
- Gulp
🎁 Benefits & Perks
- Opportunities for learning and career development
- Encouragement to be courageous and experiment daily
- Continuous trust and support in an environment where everyone can thrive
- Growth-minded culture with openness to feedback and learning
- Opportunity to collaborate and drive exceptional outcomes for customers
Locations
- Krakow, PL, India (Remote)
Salary
Estimated Salary Rangemedium confidence
2,500,000 - 4,200,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- JavaScriptintermediate
- Reactintermediate
- Javaintermediate
- Agile methodologiesintermediate
- Continuous deliveryintermediate
- UI/Front-End developmentintermediate
- Machine Learning (ML)intermediate
- Natural Language Processing (NLP)intermediate
- Natural Language Understanding (NLU)intermediate
- Natural Language Generation (NLG)intermediate
- Generative AIintermediate
- Large Language Models (LLMs)intermediate
- Prompt engineeringintermediate
- Retrieval-Augmented Generation (RAG)intermediate
- AI Agentsintermediate
- AI reasoningintermediate
- TypeScriptintermediate
- HTML5intermediate
- CSS3intermediate
- NodeJSintermediate
- Microservicesintermediate
- Dockerintermediate
- Kubernetesintermediate
- Cloud technologiesintermediate
- Continuous Integration/Continuous Deployment (CI/CD)intermediate
- ES6/7intermediate
- WebSocketsintermediate
- JSONintermediate
- Internintermediate
- Seleniumintermediate
- Gitintermediate
- Travisintermediate
- Jenkinsintermediate
- Yarnintermediate
- NPMintermediate
- Webpackintermediate
- Gulpintermediate
Required Qualifications
- 3+ years of experience developing AI based solutions based on ML, NLP, NLU and NLG (experience)
- 3+ Years of programming experience with generative AI technologies such as LLMs, prompt engineering, RAG, AI Agents, and AI reasoning (experience)
- Experience in Java, JavaScript/TypeScript, React, HTML5, CSS3, NodeJS (experience)
- Proven ability building large-scale, highly interactive enterprise SaaS UIs (experience)
- Experience with continuous integration and deployment automation tools (CI/CD) (experience)
- Experience writing end-to-end tests using frameworks like Intern, Selenium (experience)
- Experience using build, deployment and development tools like Git, Travis, Jenkins, Yarn/NPM, Webpack/Gulp (experience)
Preferred Qualifications
- Familiarity with AI concepts such as NLP, NLQ and machine learning (experience)
- Familiarity with microservices, Docker, Kubernetes or other cloud technologies (experience)
- Familiarity with financial close and consolidation, or enterprise planning (experience)
- Experience with ES6/7, WebSockets, HTML 5, modular CSS, JSON (experience)
- Interest in team leadership with prior experience and ambitions to possibly grow into management (experience)
Responsibilities
- Participate on highly innovative projects leveraging cutting edge AI techniques
- Design, code, test and deliver software supporting and enhancing IBM's enterprise-level cloud solutions
- Build high-quality, innovative and fully performing software in compliance with coding standards and technical design
- Participate in requirements gathering, sprint planning, design and technical review to support overall achievement of business objectives
Benefits
- general: Opportunities for learning and career development
- general: Encouragement to be courageous and experiment daily
- general: Continuous trust and support in an environment where everyone can thrive
- general: Growth-minded culture with openness to feedback and learning
- general: Opportunity to collaborate and drive exceptional outcomes for customers
Tags & Categories
Answer 10 quick questions to check your fit for Advisory Software Engineer @ IBM.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs