Junior Agentic AI Software Engineer

NXP Semiconductors is seeking a New Graduate Agentic AI Software Engineer to join our AI software development organization. In this role, you will contribute to the development of agent-based AI software solutions leveraging state-of-the-art foundation models and modern software engineering practices.

You will work as part of a multidisciplinary team to design, implement, and validate AI software components that enable intelligent, autonomous, and scalable systems.

Missions

• Design, develop, and maintain agentic AI software components under guidance from senior engineers
• Investigate and prototype novel approaches for AI agent reasoning, planning, tool usage, memory, and self-improvement
• Apply emerging agentic AI techniques to improve robustness, performance, and scalability of software solutions
• Participate in system design discussions, code reviews, and technical reviews
• Execute experiments to evaluate AI agent behavior, performance, and reliability
• Collaborate across software, research, and product teams to deliver high-quality solutions

Required Qualifications

• Master’s degree in Artificial Intelligence / Machine learning
• Fundamental understanding of Machine learning, deep learning, Large language models (LLM) and modern AI architectures
• Basic understanding of Agentic concepts and autonomous systems
• Familiarity with Prompt engineering, Fine-tuning vs inference-time control, Retrieval-Augmented Generation (RAG)
• Strong foundation in software engineering principles
• Proficiency in Python programming
• Familiarity with Linux development environments and version control (Git)
• Strong analytical and problem-solving skills
• Good communication skills and ability to work effectively in a team environment

Preferred Qualifications

• Academic or project experience with:
  • AI agent frameworks or autonomous systems
  • Prompt engineering, tool calling, or workflow orchestration
  • Retrieval-augmented or knowledge-based AI systems
• Exposure to:
  • embedded development environments
  • Testing or evaluation of AI models and systems
• Internship, thesis, or research experience in edge AI, agentic AI

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