GenAI Engineer

About SoftwareOne

SoftwareOne is a global leader in cloud and software services, now combined with Crayon to form a global, AI-powered software and cloud solutions provider. 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.

Your Role as GenAI Engineer

As a GenAI Engineer at SoftwareOne in Wuxi, you will be instrumental in building strong client relationships and driving business growth through innovative technology solutions. You’ll champion SoftwareOne’s cutting-edge Solutions & Services in Azure, proactively landing new opportunities, expanding existing relationships, and shaping the customer journey across both current and new accounts.

Key Responsibilities

• 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.

Required Qualifications

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

Key skills/competency

• Generative AI
• Large Language Models (LLMs)
• Python
• Machine Learning Frameworks
• Data Pipelines
• Cloud AI Services
• Model Optimization
• NLP
• Software Engineering
• Enterprise Solutions