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2 дня назад

Genai Engineer (AI)

Формат работы
onsite
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
China
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

GenAI Engineer (AI): Developing and deploying GenAI solutions such as LLM-powered chatbots and content generation tools for enterprise use cases with an accent on fine-tuning and optimizing generative AI models. Focus on model research and troubleshooting, addressing issues like bias, hallucinations, and performance while documenting technical processes.

Location: Onsite in Wuxi, China

Company

hirify.global is a global leader in cloud and software services.

What you will do

  • Develop and deploy GenAI solutions such as LLM-powered chatbots, content generation tools, and workflow automation for enterprise use cases.
  • Fine-tune and optimize generative AI models to meet performance, accuracy, and cost objectives.
  • Build and maintain data pipelines for model training, validation, and inference, ensuring data quality, privacy, and compliance.
  • Integrate GenAI applications with enterprise systems, APIs, and cloud platforms for scalability and seamless workflows.
  • Conduct research and troubleshoot models, addressing issues like bias, hallucinations, and performance while documenting technical processes.
  • Collaborate with stakeholders and mentor engineers, translating business needs into technical solutions and fostering best practices.

Requirements

  • Degree: Bachelor’s or Master’s in Computer Science, Electrical Engineering, Data Science, or related field.
  • Experience: 4+ years in machine learning with strong focus on generative AI (LLMs, diffusion models, transformers).
  • Expert in Python and ML frameworks (TensorFlow, PyTorch, Hugging Face, LangChain, LlamaIndex).
  • Hands-on fine-tuning and deployment of LLMs (GPT-4, Llama 2, Mistral) using LoRA/QLoRA techniques.
  • Familiar with AI services (AWS Bedrock, Azure OpenAI, Google Vertex AI) and containerization (Docker, Kubernetes).
  • Strong NLP knowledge, data pipeline development, software engineering best practices, and awareness of AI ethics and compliance.

Culture & Benefits

  • Opportunities for talent to grow, make an impact, and shape the future of technology.
  • Empowerment to work across borders, innovate fearlessly, and continuously develop skills through world-class learning and development programs.
  • A purpose-driven culture where your ideas matter and your growth is supported.

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