AI Software Development Engineer

Intel Intel · Semiconductors · Penang, Malaysia +1

AI Software Development Engineer at Intel, focused on building and debugging AI/ML systems, including prompt engineering, tool calling, and LLM-based workflows. The role involves designing, developing, and testing software for decision-making and analytics, with a focus on AI applications. Experience with C#, SQL, and AI concepts like RAG is required, with preferred experience in .NET, AI application design, and containerization.

What you'd actually do

  1. Design, develop, troubleshoot, and debug software programs
  2. Proven ability to collaborate across organizations and geographies
  3. Proficiency to analyze software issues, and deliver top quality production software
  4. Effective communication with the ability to present ideas in an organized fashion to various stakeholders
  5. Strong desire to learn and explore new technologies

Skills

Required

  • Bachelor's degree in electrical engineering or related field plus 4+ years of industry work experience, or Master's degree in electrical engineering or related field plus 3+ years of industry work experience, or PhD in Electrical Engineering or related field plus 1 year of industry work experience
  • Developing and maintain complex C# or equivalent application
  • Advanced proficiency with SQL
  • Experience with software development lifecycle, and proficiency with debugging and software utility tools
  • Solid understanding of prompt engineering, tool calling, and LLM-based workflows

Nice to have

  • Proficiency with .NET and VSTO
  • Experience with interop libraries
  • Advanced proficiency with DB optimizations and indexes
  • Experience with Unit Test and concept of Test Automation
  • Experience with Web Service, Web API
  • Experience with JavaScript
  • Experience with NOSQL DB and MongoDB
  • Experience with containerized technology and experience to write a docker file
  • Ability to design and implement end-to-end AI applications (backend + API / light frontend)
  • Familiarity with retrieval-augmented generation (RAG) and external data integration

What the JD emphasized

  • Solid understanding of prompt engineering, tool calling, and LLM-based workflows
  • Ability to design and implement end-to-end AI applications (backend + API / light frontend)
  • Familiarity with retrieval-augmented generation (RAG) and external data integration

Other signals

  • AI/ML is core to the role
  • The role is responsible for building AI/ML systems
  • The role is responsible for deploying AI/ML systems