An AI & Data Science Consultant/Engineer designs and builds Generative AI and agentic AI solutions end to end — LLM-powered apps, APIs, cloud architectures, and ML models — while advising clients, running PoCs, and supporting pre-sales. Core stack: Python, LLMs/RAG, FastAPI/Flask, SQL, Microsoft Copilot Studio; business-level Japanese is required.
Company: Consulting
Location: Central
About the role
This is an AI & Data Science Consultant/Engineer role focused on Generative AI and Agentic AI solution development, data science and advanced analytics, consulting and client advisory, and pre-sales support. You will design and develop AI-powered applications, build end-to-end AI solutions, and collaborate with clients to translate business requirements into data-driven solutions.
Key responsibilities
- Design and develop AI-powered applications using Generative AI, Large Language Models (LLMs), and enterprise AI platforms
- Build and integrate end-to-end AI solutions, including frontend, backend, APIs, and enterprise systems
- Develop agentic AI solutions using platforms such as Microsoft Copilot Studio and AI agent frameworks
- Design secure and scalable cloud-based AI architectures
- Analyse structured and unstructured data to generate business insights and recommendations
- Develop machine learning, predictive, and statistical models to support data-driven decision making
- Translate business requirements into AI and data-driven solutions
- Collaborate with clients to identify use cases, define solution approaches, and develop implementation roadmaps
- Develop demonstrations, prototypes, and proof-of-concepts (PoCs) to support client engagements
- Present analytical insights and technical recommendations to business stakeholders
Requirements
- Bachelor's Degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, Information Systems, or a related field
- Minimum 3 years of relevant experience in Generative AI, Agentic AI, Machine Learning, Data Science, Advanced Analytics, or AI/ML application development
- Strong programming skills in Python, including experience with libraries such as NumPy, Pandas, Scikit-learn, and data visualisation tools
- Experience developing APIs and backend services using frameworks such as FastAPI or Flask
- Strong SQL skills, including experience with complex queries, data modelling, and analytical processing
- Hands-on experience with Generative AI technologies, Large Language Models (LLMs), prompt engineering, Retrieval-Augmented Generation (RAG), embeddings, and vector databases
- Experience developing AI-powered applications and agentic AI solutions using AI agent frameworks, automation platforms, or Microsoft Copilot Studio
- Solid understanding of machine learning algorithms, statistical modelling, and data science methodologies
- Business-level Japanese language proficiency (spoken and written) to support Japanese-speaking clients and stakeholders