AI Research Engineer
IBM
AI Research Engineer
Job Description
AI Research Engineer
📋 Job Overview
As an AI Research Engineer at IBM, you will accelerate the success of Gen AI use cases involving IBM products and external clients. You will lead in analyzing and supporting these use cases, focusing on model usage, prompt optimization, and testing, while driving engagements end-to-end and contributing to technical content for the IBM Gen AI developer community.
📍 Location: BANGALORE, IN (Remote/Hybrid)
💼 Career Level: Professional
🎯 Key Responsibilities
- Accelerate the success of Gen AI use cases involving IBM products and external clients
- Lead in analyzing and supporting use cases, focusing on proper model usage, prompt optimization, testing, and related activities
- Drive engagements end-to-end, collaborating closely with other IBM business units and clients
- Regularly communicate progress, next steps, blockers, and key insights to senior management
- Contribute to technical content and tutorials aimed at upskilling the IBM Gen AI developer community
✅ Required Qualifications
- Strong skills in software development (Python, OOP, Design Patterns, Software development best practices, etc.)
- Experience with Containers (containerd, Docker), Kubernetes, and/or OpenShift
- High-quality software architecture, clean code, documentation, and tests
- Some experience with Foundation Models, Machine Learning, Deep Learning, and Jupyter Notebooks
- Experience with LLM libraries such as Hugging Face, Transformers, LangChain/LangGraph
- Experience with distilling newly published research or participating in a research community
- Some experience with LLM-based applications, such as Agents, and LLM evaluations
- Innovate on problem solutions/design (problem solver mindset)
- Ability to work independently and act as an SME to others
- Strong communication skills (Good verbal and written skills are a must)
🛠️ Required Skills
- Python
- OOP
- Design Patterns
- Software development best practices
- Containers
- containerd
- Docker
- Kubernetes
- OpenShift
- Software architecture
- Clean code
- Documentation
- Tests
- Foundation Models
- Machine Learning
- Deep Learning
- Jupyter Notebooks
- LLM libraries
- Hugging Face
- Transformers
- LangChain
- LangGraph
- LLM-based applications
- Agents
- LLM evaluations
- Problem solving
- Independent working
- SME
- Curiosity
- Upskilling others
- Communication skills
- Verbal skills
- Written skills
🎁 Benefits & Perks
- Opportunity to learn and develop yourself and your career
- Encouragement to be courageous and experiment every day
- Continuous trust and support in an environment where everyone can thrive
- Being part of a growth-minded team, always staying curious and open to feedback
- Opportunity to provide on-going feedback to help other IBMers grow
- Collaborative environment with a team-focused approach
- Equal-opportunity employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, neurodivergence, age, or other characteristics protected by applicable law
Locations
- BANGALORE, IN, 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
- Pythonintermediate
- OOPintermediate
- Design Patternsintermediate
- Software development best practicesintermediate
- Containersintermediate
- containerdintermediate
- Dockerintermediate
- Kubernetesintermediate
- OpenShiftintermediate
- Software architectureintermediate
- Clean codeintermediate
- Documentationintermediate
- Testsintermediate
- Foundation Modelsintermediate
- Machine Learningintermediate
- Deep Learningintermediate
- Jupyter Notebooksintermediate
- LLM librariesintermediate
- Hugging Faceintermediate
- Transformersintermediate
- LangChainintermediate
- LangGraphintermediate
- LLM-based applicationsintermediate
- Agentsintermediate
- LLM evaluationsintermediate
- Problem solvingintermediate
- Independent workingintermediate
- SMEintermediate
- Curiosityintermediate
- Upskilling othersintermediate
- Communication skillsintermediate
- Verbal skillsintermediate
- Written skillsintermediate
Required Qualifications
- Strong skills in software development (Python, OOP, Design Patterns, Software development best practices, etc.) (experience)
- Experience with Containers (containerd, Docker), Kubernetes, and/or OpenShift (experience)
- High-quality software architecture, clean code, documentation, and tests (experience)
- Some experience with Foundation Models, Machine Learning, Deep Learning, and Jupyter Notebooks (experience)
- Experience with LLM libraries such as Hugging Face, Transformers, LangChain/LangGraph (experience)
- Experience with distilling newly published research or participating in a research community (experience)
- Some experience with LLM-based applications, such as Agents, and LLM evaluations (experience)
- Innovate on problem solutions/design (problem solver mindset) (experience)
- Ability to work independently and act as an SME to others (experience)
- Strong communication skills (Good verbal and written skills are a must) (experience)
Responsibilities
- Accelerate the success of Gen AI use cases involving IBM products and external clients
- Lead in analyzing and supporting use cases, focusing on proper model usage, prompt optimization, testing, and related activities
- Drive engagements end-to-end, collaborating closely with other IBM business units and clients
- Regularly communicate progress, next steps, blockers, and key insights to senior management
- Contribute to technical content and tutorials aimed at upskilling the IBM Gen AI developer community
Benefits
- general: Opportunity to learn and develop yourself and your career
- general: Encouragement to be courageous and experiment every day
- general: Continuous trust and support in an environment where everyone can thrive
- general: Being part of a growth-minded team, always staying curious and open to feedback
- general: Opportunity to provide on-going feedback to help other IBMers grow
- general: Collaborative environment with a team-focused approach
- general: Equal-opportunity employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, neurodivergence, age, or other characteristics protected by applicable law
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Answer 10 quick questions to check your fit for AI Research Engineer @ IBM.
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AI Research Engineer
IBM
AI Research Engineer
Job Description
AI Research Engineer
📋 Job Overview
As an AI Research Engineer at IBM, you will accelerate the success of Gen AI use cases involving IBM products and external clients. You will lead in analyzing and supporting these use cases, focusing on model usage, prompt optimization, and testing, while driving engagements end-to-end and contributing to technical content for the IBM Gen AI developer community.
📍 Location: BANGALORE, IN (Remote/Hybrid)
💼 Career Level: Professional
🎯 Key Responsibilities
- Accelerate the success of Gen AI use cases involving IBM products and external clients
- Lead in analyzing and supporting use cases, focusing on proper model usage, prompt optimization, testing, and related activities
- Drive engagements end-to-end, collaborating closely with other IBM business units and clients
- Regularly communicate progress, next steps, blockers, and key insights to senior management
- Contribute to technical content and tutorials aimed at upskilling the IBM Gen AI developer community
✅ Required Qualifications
- Strong skills in software development (Python, OOP, Design Patterns, Software development best practices, etc.)
- Experience with Containers (containerd, Docker), Kubernetes, and/or OpenShift
- High-quality software architecture, clean code, documentation, and tests
- Some experience with Foundation Models, Machine Learning, Deep Learning, and Jupyter Notebooks
- Experience with LLM libraries such as Hugging Face, Transformers, LangChain/LangGraph
- Experience with distilling newly published research or participating in a research community
- Some experience with LLM-based applications, such as Agents, and LLM evaluations
- Innovate on problem solutions/design (problem solver mindset)
- Ability to work independently and act as an SME to others
- Strong communication skills (Good verbal and written skills are a must)
🛠️ Required Skills
- Python
- OOP
- Design Patterns
- Software development best practices
- Containers
- containerd
- Docker
- Kubernetes
- OpenShift
- Software architecture
- Clean code
- Documentation
- Tests
- Foundation Models
- Machine Learning
- Deep Learning
- Jupyter Notebooks
- LLM libraries
- Hugging Face
- Transformers
- LangChain
- LangGraph
- LLM-based applications
- Agents
- LLM evaluations
- Problem solving
- Independent working
- SME
- Curiosity
- Upskilling others
- Communication skills
- Verbal skills
- Written skills
🎁 Benefits & Perks
- Opportunity to learn and develop yourself and your career
- Encouragement to be courageous and experiment every day
- Continuous trust and support in an environment where everyone can thrive
- Being part of a growth-minded team, always staying curious and open to feedback
- Opportunity to provide on-going feedback to help other IBMers grow
- Collaborative environment with a team-focused approach
- Equal-opportunity employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, neurodivergence, age, or other characteristics protected by applicable law
Locations
- BANGALORE, IN, 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
- Pythonintermediate
- OOPintermediate
- Design Patternsintermediate
- Software development best practicesintermediate
- Containersintermediate
- containerdintermediate
- Dockerintermediate
- Kubernetesintermediate
- OpenShiftintermediate
- Software architectureintermediate
- Clean codeintermediate
- Documentationintermediate
- Testsintermediate
- Foundation Modelsintermediate
- Machine Learningintermediate
- Deep Learningintermediate
- Jupyter Notebooksintermediate
- LLM librariesintermediate
- Hugging Faceintermediate
- Transformersintermediate
- LangChainintermediate
- LangGraphintermediate
- LLM-based applicationsintermediate
- Agentsintermediate
- LLM evaluationsintermediate
- Problem solvingintermediate
- Independent workingintermediate
- SMEintermediate
- Curiosityintermediate
- Upskilling othersintermediate
- Communication skillsintermediate
- Verbal skillsintermediate
- Written skillsintermediate
Required Qualifications
- Strong skills in software development (Python, OOP, Design Patterns, Software development best practices, etc.) (experience)
- Experience with Containers (containerd, Docker), Kubernetes, and/or OpenShift (experience)
- High-quality software architecture, clean code, documentation, and tests (experience)
- Some experience with Foundation Models, Machine Learning, Deep Learning, and Jupyter Notebooks (experience)
- Experience with LLM libraries such as Hugging Face, Transformers, LangChain/LangGraph (experience)
- Experience with distilling newly published research or participating in a research community (experience)
- Some experience with LLM-based applications, such as Agents, and LLM evaluations (experience)
- Innovate on problem solutions/design (problem solver mindset) (experience)
- Ability to work independently and act as an SME to others (experience)
- Strong communication skills (Good verbal and written skills are a must) (experience)
Responsibilities
- Accelerate the success of Gen AI use cases involving IBM products and external clients
- Lead in analyzing and supporting use cases, focusing on proper model usage, prompt optimization, testing, and related activities
- Drive engagements end-to-end, collaborating closely with other IBM business units and clients
- Regularly communicate progress, next steps, blockers, and key insights to senior management
- Contribute to technical content and tutorials aimed at upskilling the IBM Gen AI developer community
Benefits
- general: Opportunity to learn and develop yourself and your career
- general: Encouragement to be courageous and experiment every day
- general: Continuous trust and support in an environment where everyone can thrive
- general: Being part of a growth-minded team, always staying curious and open to feedback
- general: Opportunity to provide on-going feedback to help other IBMers grow
- general: Collaborative environment with a team-focused approach
- general: Equal-opportunity employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, neurodivergence, age, or other characteristics protected by applicable law
Tags & Categories
Answer 10 quick questions to check your fit for AI Research Engineer @ IBM.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs