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About This Role
- Designs and builds generative AI agents and AI platforms leveraging both local and cloud-based large language models (LLMs).
- Develops AI-powered products and solutions that enable intelligent reasoning, automation, and human-AI interaction for real-world use cases.
- Builds and integrates GenAI systems using local LLMs and cloud-hosted LLM services, focusing on agent orchestration, tool usage, retrieval-augmented workflows, and system-level optimization.
- Collaborates closely with users and stakeholders to define requirements and deliver impactful AI solutions.
- Translates AI agent logic, LLM workflows, and data pipelines into production-quality software using modern programming practices.
- Responsible for end-to-end development, including implementation, testing, debugging, documentation, and deployment of AI services, tools, and platforms.
Nice to Have
- Experience with frameworks and ecosystems such as LangChain, LlamaIndex, AutoGen, Hugging Face, and related APIs.
- Knowledge of Retrieval-Augmented Generation (RAG), vector databases (e.g., FAISS, Chroma), and embedding-based search.
- Experience with prompt engineering and/or UX/UI considerations to improve human-AI interaction.
- Familiarity with deploying, scaling, and optimizing AI agent platforms across local and cloud environments.
- Qualification requirements may be met through academic coursework, community projects, or on-the-job experience.
Sourced directly from Intel’s career page
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Specialisation
Open roles at Intel
101 positions
Job ID
/job/Malaysia-Penang/Graduate-Talent--GenAI-Software-Solutions-Engineer-_JR0284164-1
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