Senior Gen AI Software Solutions Engineer

Intel Intel · Semiconductors · Shanghai, China +1

Senior Gen AI Software Solutions Engineer at Intel, focused on driving adoption of Intel products by developing and optimizing AI solutions, including LLM-based systems and agents, for customers and partners. This role involves prototyping, performance tuning, and collaborating with internal engineering and product development teams.

What you'd actually do

  1. Works with internal engineering teams and external partners, customers, and ISVs to deliver optimized AI solutions using Intel products with the goal of driving adoption of Intel products.
  2. Researches technical trends and utilizes deep domain and market segment expertise to prototype solutions and develop AI software including open source libraries and models.
  3. Optimizes performance of AI models through deep knowledge and expertise of AI frameworks, algorithms, models, and related hardware.
  4. Researches, develops, and adjusts new or existing AI models, code, parameters, and/or quantization to address issues and modify operations to enhance performance.
  5. Partners with Intel software and hardware product development teams to accelerate and optimize future products in AI and HPC domains by leading application preenabling and product hardening.

Skills

Required

  • Strong Python or C++ skills
  • Excellent problem-solving skills with a results-driven, customer-focused mindset

Nice to have

  • Experience with RAG pipelines, vector databases (e.g.,FAISS, Chroma), and embedding techniques
  • Experience optimizing GenAI workloads for edge devices using xPU accelerators
  • Experience with local LLMs (e.g., Mistral, Llama) or fine-tuning open-source models
  • Experience in customer/partner support for GenAI workflow design and deployment
  • Experience with frameworks such as LangChain, LlamaIndex, AutoGen, HuggingFace, and other APIs
  • Experience in UX/UI or prompt engineering to improve human-AI inter

What the JD emphasized

  • 10+ years hands-on experience on AI/ML algorithm development
  • 5+ years of hands-on experience in NLP, LLM-based systems, or AI agent development
  • Deep expertise in GenAI algorithms, solution architecture, and performance tuning
  • Proven experience building custom AI tools, agents, or apps for real-world use cases

Other signals

  • driving adoption of Intel products
  • prototype solutions
  • develop AI software
  • optimize performance of AI models
  • develop and adjust AI models
  • accelerate and optimize future products
  • drive key workloads into product requirements
  • architect innovative projection methodologies and tools