Wuxi, Jiangsu, China
32 days ago
GenAI Engineer
Why SoftwareOne?

 

SoftwareOne and Crayon have come together to form a global, AI-powered software and cloud solutions provider with a bold vision for the future. With a footprint in over 70 countries and a diverse team of 13,000+ professionals, we offer unparalleled opportunities for talent to grow, make an impact, and shape the future of technology. At the heart of our business is our people. We empower our teams to work across borders, innovate fearlessly, and continuously develop their skills through world-class learning and development programs. Whether you're passionate about cloud, software, data, AI, or building meaningful client relationships, you’ll find a place to thrive here. Join us and be part of a purpose-driven culture where your ideas matter, your growth is supported, and your career can go global. 


The role

 

SoftwareOne is a global leader in cloud and software services. We’re hiring a GenAI Engineer in Wuxi to build strong client relationships and drive business growth through innovative technology solutions. 

 

In this role, you’ll drive growth by championing SoftwareOne’s cutting-edge Solutions & Services in Azure. You’ll take a proactive approach to landing new opportunities, expanding existing relationships, and shaping the customer journey across both current and new accounts.

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 (open-source and proprietary) 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.

 


What we need to see from you

 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).Technical Skills: Expert in Python and ML frameworks (TensorFlow, PyTorch, Hugging Face, LangChain, LlamaIndex).Model Expertise: Hands-on fine-tuning and deployment of LLMs (GPT-4, Llama 2, Mistral) using LoRA/QLoRA techniques.Cloud & Deployment: Familiar with AI services (AWS Bedrock, Azure OpenAI, Google Vertex AI) and containerization (Docker, Kubernetes).Additional Skills: Strong NLP knowledge, data pipeline development, software engineering best practices, and awareness of AI ethics and compliance.

 


Job Function

Software & Cloud
Accommodations

SoftwareOne welcomes applicants from all backgrounds and abilities to apply. If you require reasonable adjustments at any point during the recruitment process, email us at reasonable.accommodations@softwareone.com.   

Please include the role for which you are applying and your country location. Someone from our organization that is not part of the decision-making process will be in touch to discuss your specific needs and we will make every effort to accommodate you. Any information shared will be stored securely and treated in the strictest of confidence in line with GDPR.  

  

At SoftwareOne, we are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants and teammates without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.  Additionally, we encourage experienced individuals that have taken an intentional career break and are now prepared to return to work to explore our SOAR program. 

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