AI Product Engineer

At MiWay, our purpose is to enable people to live their way. We understand that life is not just about "things" but the meaning that those things bring to your life. We believe that technology and innovation have infinite possibilities when it's inspired by humans by you.

Therefore, we focus on our clients' needs; finding new ways to simplify their lives and how they do things.

We give them products, services, and solutions that enable them to live and enjoy life on their own terms – in their own way.

Agile values and principles are strongly embedded in our culture, and they are at the core of how we make decisions and how we approach adding value within the company.

MiWay is seeking an AI Product Engineer to design, build, deploy, and continuously improve AI-powered products. This role will work closely with business area heads, executive stakeholders, data science, technology, risk, and delivery teams to design and deliver AI solutions that create measurable business value. The AI Product Engineer bridges data science, software engineering, and product thinking. This role ensures AI solutions are robust, scalable, and aligned with user needs and business objectives.

This role will form part of the CIO reporting line, reporting directly to the AI Product Lead.

• A relevant tertiary qualification (Bachelor’s degree or equivalent)
• Qualification in Business, Engineering, Data Science, Computer Science, or a related field
• Postgraduate qualification will be advantageous
• Product Design, Agile development, or AI related certifications will be beneficial

• Minimum 3–4 years’ experience in software engineering, machine learning and data science
• At least 2–3 years’ experience delivering AI and automation solutions in a production environment
• Proven experience delivering products or initiatives with measurable business value
• Experience operating in financial services, insurance, or a regulated environment
• Strong experience working with data science and engineering teams
• Strong experience working with Agile delivery teams
• Strong experience working with senior executives and business leaders

• Production-ready AI features and services
• Scalable AI/ML pipelines
• Prompt libraries and evaluation frameworks
• Monitoring dashboards and alerting systems
• Technical documentation and architecture diagrams

• Strong problem-solving and analytical thinking
• Ability to bridge technical and business discussions
• Clear communication
• Ownership mindset

• Design and implement end-to-end AI solutions (LLMs, ML models)
• Translate business problems into AI-driven product features and solutions
• Build APIs, services, and pipelines to integrate AI models into production systems
• Develop agent-based systems (e.g., Microsoft Copilot Studio agents, automation workflows)

• Integrate ML/AI models into production environments (Azure, AWS, on-prem)
• Optimize models for latency, cost, and reliability
• Implement CI/CD pipelines for ML lifecycle (MLOps)
• Manage versioning of models, prompts, and datasets

• Design, test, and refine prompts and system instructions
• Build RAG (Retrieval-Augmented Generation) pipelines using structured/unstructured data
• Evaluate LLM outputs for accuracy, hallucination, and relevance
• Implement guardrails and safety mechanisms

• Collaborate with product leads, business stakeholders, and domain experts
• Convert requirements into technical designs and product features
• Prioritize features based on business impact and feasibility
• Develop POCs and MVPs to prove initial business value

• Build and maintain data ingestion and preprocessing pipelines
• Ensure data quality, consistency, and availability for AI systems
• Work with structured (SQL), semi-structured, and unstructured datasets
• Enable real-time or batch inference workflows

• Define metrics for AI performance (accuracy, latency, user satisfaction)
• Implem…