AI Product Engineer

**Who are we?** 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.**What will you do?** 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.**What will make you successful in this role?** **Minimum Qualification Required** * 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 Experience** * 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 * Agile delivery teams * Senior executives and business leaders **Required Skills and Experience** Technical Skills * Programming: Python (required), SQL (required), Golang (Advantageous), Rust (Advantageous), JavaScript / TypeScript (Advantageous) * Operating Systems o Linux: Experience with Red Hat, BASH commands and scripting o Windows: PowerShell commands and scripting * AI/ML: o Classical ML and deep learning fundamentals o LLMs (e.g., ChatGPT, Claude, open\-source models) o A good understanding of LLM architectures and transformer fundamentals o Knowledge grounding (RAG architectures) o Retrieval systems (vector databases, embeddings) o Prompt engineering and evaluation o Context orchestration and management o LLM QLoRA fine\-tuning (SFT, DPO) o LLM Quantization (GGUF) * Frameworks: o FastAPI o Llamacpp / Ollama o PyTorch and...