Associate Expert Data Analyst
Wuxi, China
- Pay
- Salary not listed in the saved posting
- Work setup
- Unconfirmed
- Employment
- Unconfirmed
What you’ll work on
Full postingDesign and implement GenAI solutions, including prompt engineering and iterative optimization for enterprise use cases
Build and orchestrate multi-agent workflows using platforms such as Dify, Coze, or Copilot Studio, integrating with APIs and enterprise systems
Develop and maintain data pipelines for training, validation, and inference, ensuring compliance and data quality
From the employer’s posting
Key responsibilities: Design and implement GenAI solutions, including prompt engineering and iterative optimization for enterprise use cases Build and orchestrate multi-agent workflows using platforms such as Dify, Coze, or Copilot Studio, integrating with APIs and enterprise systems
Design and implement GenAI solutions, including prompt engineering and iterative optimization for enterprise use cases Build and orchestrate multi-agent workflows using platforms such as Dify, Coze, or Copilot Studio, integrating with APIs and enterprise systems Develop and maintain data pipelines for training, validation, and inference, ensuring compliance and data quality
Build and orchestrate multi-agent workflows using platforms such as Dify, Coze, or Copilot Studio, integrating with APIs and enterprise systems Develop and maintain data pipelines for training, validation, and inference, ensuring compliance and data quality Collaborate with stakeholders to translate business requirements into technical specifications and deliver measurable outcomes
Education & alternatives
What we need to see from you - Bachelor’s or Master’s degree in Computer Science, Data Science, or related field - Hands-on experience with prompt engineering, LLM fine-tuning (LoRA/QLoRA), and frameworks like LangChain/LlamaIndex
Tools in this posting
- Python
- AWS
- Azure
- Huggingface
Source — Tool mentions in context
- Practical experience with agent orchestration platforms (Dify, Coze, Copilot Studio) and RAG pipelines - Solid Python proficiency for prototyping and integration; familiarity with Hugging Face and cloud AI services (Azure OpenAI, AWS Bedrock, Vertex AI) - Strong business sense: ability to map workflows to AI use cases, assess ROI, and ensure compliance
Job description
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
Are you passionate about building GenAI solutions that combine prompt engineering and multi-agent orchestration to solve real business challenges?
Do you thrive on turning cutting-edge AI technologies into practical, scalable solutions for enterprise clients?
SoftwareOne is a global leader in cloud and software services. We’re hiring a GenAI Engineer to design and deliver AI-powered applications using LLMs, agent orchestration platforms, and cloud technologies to accelerate digital transformation.
Key responsibilities:
- Design and implement GenAI solutions, including prompt engineering and iterative optimization for enterprise use cases
- Build and orchestrate multi-agent workflows using platforms such as Dify, Coze, or Copilot Studio, integrating with APIs and enterprise systems
- Develop and maintain data pipelines for training, validation, and inference, ensuring compliance and data quality
- Collaborate with stakeholders to translate business requirements into technical specifications and deliver measurable outcomes
- Conduct technical research on emerging GenAI frameworks and best practices, and contribute to innovation initiatives
- Document solution architecture, deployment processes, and provide guidance to junior engineers
What we need to see from you
- Bachelor’s or Master’s degree in Computer Science, Data Science, or related field
- Hands-on experience with prompt engineering, LLM fine-tuning (LoRA/QLoRA), and frameworks like LangChain/LlamaIndex
- Practical experience with agent orchestration platforms (Dify, Coze, Copilot Studio) and RAG pipelines
- Solid Python proficiency for prototyping and integration; familiarity with Hugging Face and cloud AI services (Azure OpenAI, AWS Bedrock, Vertex AI)
- Strong business sense: ability to map workflows to AI use cases, assess ROI, and ensure compliance
- Excellent communication and collaboration skills; experience delivering PoCs or demos to clients
Job Function
Services
Accommodations
Your next step
- Have your CV and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the salary range before committing time to the process.
Complete your application on careers-softwareone.icims.com. The employer’s form will show what is required.
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Source & posting history
Source notes
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
Wuxi, China
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
- Status in our records
- Active
- First seen by us
- Aug 17, 2026
- Recorded sightings
- 119
- Last seen by us
- Oct 8, 2026
- Employer says posted
- Jan 19, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
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