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GenAI Software Solutions Engineer

Intel · MYS - Penang, Malaysia

Information Technology Software & Development Full-time Posted 4 days ago

About this role

Job Details: Job Description: 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

Qualifications: Required Qualifications Open to fresh graduates or candidates with less than 2 years of working experience. Bachelor’s degree in Computer Science, Electrical/Computer Engineering, or a related field. Basic understanding of generative AI and large language models (LLMs)

Exposure to local LLMs (e.g., Llama, Mistral) or cloud-based LLM APIs through coursework, projects, or internships. Familiarity with building simple AI agents, chatbots, or LLM-based applications via academic or personal projects. Programming experience in Python and/or C/C++

Interest in AI agents, GenAI platforms, and real-world AI applications. Strong problem-solving skills and willingness to learn new technologies. Good communication skills and ability to work in a team environment

Preferred Qualifications 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 i

Apply for this role on Intel’s official careers site.

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