Overview:
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.
Responsibilities:
* 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.
The Role
* 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.
Qualifications:
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.
Preferred Skills:
* Knowledge of multi-agent frameworks (AutoGen), vector databases, and Azure DevOps.
* Familiarity with containerization (Docker/Kubernetes), MLOps tools (MLflow, Weights & Biases), and responsible AI practices.
* Relevant certifications in AI/ML or cloud platforms are a plus.
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