Entry Level AI Software Engineer
IBM
Entry Level AI Software Engineer
Job Description
Entry Level AI Software Engineer
📋 Job Overview
Join IBM's AI Center of Excellence as an Entry Level AI Software Engineer to design, develop, and implement advanced AI solutions using IBM's Watsonx platform. Collaborate with various teams to build scalable and secure applications on IBM Cloud, delivering innovative solutions to address complex challenges.
📍 Location: Multiple Locations (Remote/Hybrid)
💼 Career Level: Entry Level
🎯 Key Responsibilities
- 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
✅ Required Qualifications
- 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 Qualifications
- 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
🛠️ Required Skills
- IBM Watsonx
- Pretrained models like Granite
- IBM Cloud
- Node.js
- Python
- Java
- Cassandra
- PostgreSQL
- HTTP
- REST
- JSON
- HTML
- Ajax
- JavaScript
- PyTorch
- Hugging Face
- OpenAI API
- LLM prompt engineering
- Retrieval-augmented generation (RAG)
- Git
- CI/CD
- Docker
- Kubernetes
- Micro-services architecture
- RabbitMQ
- Kafka
- Red Hat
- Ubuntu
- Maven
- Gradle
- JUnit
- Selenium
- Puppeteer
- Agile development methodologies
- Analytical skills
- Problem-solving abilities
- Collaboration skills
- Communication skills
🎁 Benefits & Perks
- Opportunity to learn and develop yourself and your career
- Encouragement to be courageous and experiment everyday
- Continuous trust and support in an environment where everyone can thrive
- Growth-minded culture, always staying curious, open to feedback and learning new information and skills
- Trusted to provide on-going feedback to help other IBMers grow
- Collaborative team-focused approach to include different perspectives
- Courage to make critical decisions everyday
- Embracing challenges with resources at hand and a can-do attitude
- Outcome-focused approach within everything that they do
Locations
- Multiple Locations, India (Remote)
Salary
Estimated Salary Rangemedium confidence
800,000 - 1,500,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- IBM Watsonxintermediate
- Pretrained models like Graniteintermediate
- IBM Cloudintermediate
- Node.jsintermediate
- Pythonintermediate
- Javaintermediate
- Cassandraintermediate
- PostgreSQLintermediate
- HTTPintermediate
- RESTintermediate
- JSONintermediate
- HTMLintermediate
- Ajaxintermediate
- JavaScriptintermediate
- PyTorchintermediate
- Hugging Faceintermediate
- OpenAI APIintermediate
- LLM prompt engineeringintermediate
- Retrieval-augmented generation (RAG)intermediate
- Gitintermediate
- CI/CDintermediate
- Dockerintermediate
- Kubernetesintermediate
- Micro-services architectureintermediate
- RabbitMQintermediate
- Kafkaintermediate
- Red Hatintermediate
- Ubuntuintermediate
- Mavenintermediate
- Gradleintermediate
- JUnitintermediate
- Seleniumintermediate
- Puppeteerintermediate
- Agile development methodologiesintermediate
- Analytical skillsintermediate
- Problem-solving abilitiesintermediate
- Collaboration skillsintermediate
- Communication skillsintermediate
Required Qualifications
- Experience as a full stack developer with a focus in AI (experience)
- Understanding of backend technologies, including server-side languages (Node.js, Python, Java, etc.) and databases (Cassandra, PostgreSQL, etc.) (experience)
- Experience in web technologies: HTTP, REST, JSON, HTML, Ajax, JavaScript etc. (experience)
- Familiarity with AI/ML frameworks like PyTorch, Hugging Face, or OpenAI API (experience)
- Basic understanding of LLM prompt engineering and retrieval-augmented generation (RAG) techniques (experience)
- Experience with version control systems (Git) and CI/CD pipelines for efficient development workflows (experience)
- Strong analytical and problem-solving abilities to address technical challenges effectively (experience)
- Strong collaboration skills, having worked effectively with design and engineering teams (experience)
- Effective verbal and written communication skills in English (experience)
Preferred Qualifications
- Hands on experience with the Watsonx product portfolio and IBM Cloud Infrastructure (experience)
- Experience in deploying and fine-tuning models like Granite, Mistral, or Llama 3 (experience)
- Hands-on experience with containerization tools like Docker or Kubernetes (experience)
- Understanding of the micro-services architecture and modern cloud programming practices (experience)
- Experience in using messaging brokers like RabbitMQ, Kafka etc. (experience)
- Operating Systems (such as Red Hat, Ubuntu, etc.) (experience)
- Experience with build tools like Maven/Gradle (experience)
- Experience with automated testing (JUnit, Selenium and/or Puppeteer) (experience)
- Experience with agile development methodologies (experience)
Responsibilities
- 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
Benefits
- general: Opportunity to learn and develop yourself and your career
- general: Encouragement to be courageous and experiment everyday
- general: Continuous trust and support in an environment where everyone can thrive
- general: Growth-minded culture, always staying curious, open to feedback and learning new information and skills
- general: Trusted to provide on-going feedback to help other IBMers grow
- general: Collaborative team-focused approach to include different perspectives
- general: Courage to make critical decisions everyday
- general: Embracing challenges with resources at hand and a can-do attitude
- general: Outcome-focused approach within everything that they do
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Answer 10 quick questions to check your fit for Entry Level AI Software Engineer @ IBM.
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~2 Minutes
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Entry Level AI Software Engineer
IBM
Entry Level AI Software Engineer
Job Description
Entry Level AI Software Engineer
📋 Job Overview
Join IBM's AI Center of Excellence as an Entry Level AI Software Engineer to design, develop, and implement advanced AI solutions using IBM's Watsonx platform. Collaborate with various teams to build scalable and secure applications on IBM Cloud, delivering innovative solutions to address complex challenges.
📍 Location: Multiple Locations (Remote/Hybrid)
💼 Career Level: Entry Level
🎯 Key Responsibilities
- 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
✅ Required Qualifications
- 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 Qualifications
- 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
🛠️ Required Skills
- IBM Watsonx
- Pretrained models like Granite
- IBM Cloud
- Node.js
- Python
- Java
- Cassandra
- PostgreSQL
- HTTP
- REST
- JSON
- HTML
- Ajax
- JavaScript
- PyTorch
- Hugging Face
- OpenAI API
- LLM prompt engineering
- Retrieval-augmented generation (RAG)
- Git
- CI/CD
- Docker
- Kubernetes
- Micro-services architecture
- RabbitMQ
- Kafka
- Red Hat
- Ubuntu
- Maven
- Gradle
- JUnit
- Selenium
- Puppeteer
- Agile development methodologies
- Analytical skills
- Problem-solving abilities
- Collaboration skills
- Communication skills
🎁 Benefits & Perks
- Opportunity to learn and develop yourself and your career
- Encouragement to be courageous and experiment everyday
- Continuous trust and support in an environment where everyone can thrive
- Growth-minded culture, always staying curious, open to feedback and learning new information and skills
- Trusted to provide on-going feedback to help other IBMers grow
- Collaborative team-focused approach to include different perspectives
- Courage to make critical decisions everyday
- Embracing challenges with resources at hand and a can-do attitude
- Outcome-focused approach within everything that they do
Locations
- Multiple Locations, India (Remote)
Salary
Estimated Salary Rangemedium confidence
800,000 - 1,500,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- IBM Watsonxintermediate
- Pretrained models like Graniteintermediate
- IBM Cloudintermediate
- Node.jsintermediate
- Pythonintermediate
- Javaintermediate
- Cassandraintermediate
- PostgreSQLintermediate
- HTTPintermediate
- RESTintermediate
- JSONintermediate
- HTMLintermediate
- Ajaxintermediate
- JavaScriptintermediate
- PyTorchintermediate
- Hugging Faceintermediate
- OpenAI APIintermediate
- LLM prompt engineeringintermediate
- Retrieval-augmented generation (RAG)intermediate
- Gitintermediate
- CI/CDintermediate
- Dockerintermediate
- Kubernetesintermediate
- Micro-services architectureintermediate
- RabbitMQintermediate
- Kafkaintermediate
- Red Hatintermediate
- Ubuntuintermediate
- Mavenintermediate
- Gradleintermediate
- JUnitintermediate
- Seleniumintermediate
- Puppeteerintermediate
- Agile development methodologiesintermediate
- Analytical skillsintermediate
- Problem-solving abilitiesintermediate
- Collaboration skillsintermediate
- Communication skillsintermediate
Required Qualifications
- Experience as a full stack developer with a focus in AI (experience)
- Understanding of backend technologies, including server-side languages (Node.js, Python, Java, etc.) and databases (Cassandra, PostgreSQL, etc.) (experience)
- Experience in web technologies: HTTP, REST, JSON, HTML, Ajax, JavaScript etc. (experience)
- Familiarity with AI/ML frameworks like PyTorch, Hugging Face, or OpenAI API (experience)
- Basic understanding of LLM prompt engineering and retrieval-augmented generation (RAG) techniques (experience)
- Experience with version control systems (Git) and CI/CD pipelines for efficient development workflows (experience)
- Strong analytical and problem-solving abilities to address technical challenges effectively (experience)
- Strong collaboration skills, having worked effectively with design and engineering teams (experience)
- Effective verbal and written communication skills in English (experience)
Preferred Qualifications
- Hands on experience with the Watsonx product portfolio and IBM Cloud Infrastructure (experience)
- Experience in deploying and fine-tuning models like Granite, Mistral, or Llama 3 (experience)
- Hands-on experience with containerization tools like Docker or Kubernetes (experience)
- Understanding of the micro-services architecture and modern cloud programming practices (experience)
- Experience in using messaging brokers like RabbitMQ, Kafka etc. (experience)
- Operating Systems (such as Red Hat, Ubuntu, etc.) (experience)
- Experience with build tools like Maven/Gradle (experience)
- Experience with automated testing (JUnit, Selenium and/or Puppeteer) (experience)
- Experience with agile development methodologies (experience)
Responsibilities
- 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
Benefits
- general: Opportunity to learn and develop yourself and your career
- general: Encouragement to be courageous and experiment everyday
- general: Continuous trust and support in an environment where everyone can thrive
- general: Growth-minded culture, always staying curious, open to feedback and learning new information and skills
- general: Trusted to provide on-going feedback to help other IBMers grow
- general: Collaborative team-focused approach to include different perspectives
- general: Courage to make critical decisions everyday
- general: Embracing challenges with resources at hand and a can-do attitude
- general: Outcome-focused approach within everything that they do
Tags & Categories
Answer 10 quick questions to check your fit for Entry Level AI Software Engineer @ IBM.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs