Job Title

AI Engineer - GenAI Data Insight Focus

Job Description

About Signify

Through bold discovery and cutting-edge innovation, we lead an industry that is vital for the future of our planet: lighting. Through our leadership in connected lighting and the Internet of Things, we're breaking new ground in data analytics, AI, and smart solutions for homes, offices, cities, and beyond.

At Signify, you can shape tomorrow by building on our incredible 125+ year legacy while working toward even bolder sustainability goals. Our culture of continuous learning, creativity, and commitment to diversity and inclusion empowers you to grow your skills and career.

Join us, and together, we’ll transform our industry, making a lasting difference for brighter lives and a better world. You light the way.

More about the role

This is an exciting job opportunity for you to light the way as an AI Engineer (GenAI Data Insight Focus) in Shanghai with Signify.

​​Responsibilities:​​

  • Utilize generative AI technologies (LLMs, RAG, Agents, etc.) to extract deep business insights from massive datasets and build intelligent data interpretation/analysis platforms

  • Combine traditional data analysis methods (SQL, statistical modeling) with GenAI to create end-to-end automated data insight pipelines, continuously improving analysis accuracy and interpretability

  • Explore AI-driven analytical paradigms for multimodal data (text, tables, time-series, etc.), pushing the boundaries of data insight technologies

  • Lead data infrastructure optimization including efficient storage solutions, intelligent retrieval systems, and preprocessing pipeline improvements to ensure optimal AI model performance

  • Drive technological innovation and intellectual property protection, leading the patenting process for technical solutions

More about you

While we value and appreciate all applicants, we believe that the following experience and skills will be needed to shine brightly in this job opening:

Requirements:​​

  • Master's degree or higher in Computer Science, Data Science or related fields

  • 5+ years experience in AI/Data Science with proven GenAI implementation cases

  • Technical Competencies:

  • Expert proficiency in Python, SQL and data analysis toolchains (Pandas/NumPy/Scikit-learn)

  • Deep understanding of data mining methodologies with large-scale project experience

  • Hands-on experience with LLMs (GPT-4/LLaMA/Qwen etc.) in production, specializing in RAG and Agent architectures

  • Familiarity with AI engineering frameworks like LangChain/LlamaIndex, capable of developing lightweight services (FastAPI/Flask)

  • Comprehensive knowledge of full software development lifecycle including requirements analysis, system design, code review and CI/CD

  • Strong understanding of GenAI-driven data insight innovation with ability to quickly adopt cutting-edge technologies

  • English fluency with ability to handle technical documentation.

  • Excellent cross-team communication skills to translate complex technical solutions into business value propositions

​​
Preferred Qualifications:​​

  • Experience in patent drafting or applications

  • Published technical papers or open-source contributions in relevant fields

  • Familiarity with AI service deployment on cloud platforms (AWS/Azure/Alibaba Cloud)

Everything we’ll do for you

You can grow a lasting career here. We’ll encourage you, support you, and challenge you. We’ll help you learn and progress in a way that’s right for you, with coaching and mentoring along the way. We’ll listen to you too, because we see and value every one of our 30,000+ people.

We believe that a diverse and inclusive workplace fosters creativity, innovation, and a full spectrum of bright ideas. With a global workforce representing 99 nationalities, we are dedicated to creating an inclusive environment where every voice is heard and valued, helping us all achieve more together.

Come join us, and together we can light the way.

Location

Shanghai - Phincas 2, China

Job Overview
Job Posted:
2 weeks ago
Job Expires:
Job Type
Full Time

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