At IBM work is more than a job - it’s a calling: To build. To design. To code. To consult. To invent. To collaborate.
Not just to do something better but to attempt things you’ve never thought possible.
If you are ready to help define the future of AI for Science and Decision Optimization we invite you to join our team.
As part of the Granite Feedback Team your primary objective is to accelerate the success of Gen AI use cases involving IBM products and external clients. You will take the lead in analyzing and supporting these use cases focusing on proper model usage prompt optimization testing and related activities. In this role you’ll drive engagements end-to-end collaborating closely with other IBM business units and clients while regularly communicating progress next steps blockers and key insights to senior management. Additionally you will contribute to technical content and tutorials aimed at upskilling the IBM Gen AI developer community enabling them to independently debug and support their own use cases.
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Strong skills in software development (Python OOP Design Patterns Software development best practices etc.)
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Strong knowledge of REST APIs specs/implementation
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Experience with Containers (container Docker) Kubernetes and/or OpenShift
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High-quality software architecture clean code documentation and tests
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Some experience with Foundation Models Machine Learning Deep Learning and Jupyter Notebooks
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Experience with LLM libraries such as Hugging Face Transformers LangChain/LangGraph
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Experience with Test Driven Development
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Experience with distilling newly published research or participating in a research community
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Some experience with LLM-based applications such as Agents and LLM evaluations
Other Skills-
Innovate on problem solutions/design (problem solver mindset)
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Self-driven/taught
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Ability to work independently and act as an SME to others
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Ability to quickly adapt to new project settings
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Curious and expresses a desire to help up-skill others
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Strong communication skills (Good verbal and written skills are a must).
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A significant portion of this role involves carefully communicating nuanced settings.
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