AI Product Engineer

SUMMARY:
An exciting opportunity is available for an AI Product Engineer to join a forward-thinking organisation that is investing heavily in artificial intelligence, automation, and next-generation digital solutions.

POSITION INFO:
This role offers the opportunity to work at the forefront of AI product development, collaborating with business leaders, technology teams, and data specialists to design, build, and deploy intelligent solutions that deliver measurable business impact. You will play a key role in transforming business challenges into scalable AI-powered products while driving innovation across the organisation.

The successful candidate will combine strong technical expertise with commercial awareness, helping to bridge the gap between product strategy, software engineering, machine learning, and business value. This is an ideal opportunity for someone who is passionate about AI, enjoys solving complex problems, and thrives in a collaborative, fast-paced environment.

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Key Responsibilities:

• Design, develop, and deploy AI-driven solutions that address complex business challenges and create measurable value.
• Translate business requirements into scalable AI products, features, and automation opportunities.
• Build and maintain APIs, services, and data pipelines that enable AI capabilities within operational environments.
• Develop and enhance intelligent applications using machine learning, generative AI, and large language model technologies.
• Implement and manage production-ready AI solutions across cloud and enterprise platforms.
• Create and optimise retrieval-based AI architectures using structured and unstructured data sources.
• Evaluate, refine, and improve prompts, model outputs, and AI system performance to ensure reliability and relevance.
• Collaborate with technical teams and business stakeholders to define solution requirements and drive successful delivery.
• Develop proof-of-concepts and minimum viable products to validate new ideas and accelerate innovation.
• Build and maintain data ingestion, transformation, and preparation processes that support AI initiatives.
• Establish monitoring frameworks to track model performance, system stability, user adoption, and business outcomes.
• Drive continuous improvement through experimentation, testing, and evaluation of emerging AI technologies and methodologies.
• Ensure AI solutions align with governance standards, security requirements, and responsible AI principles.
• Produce and maintain technical documentation, architecture designs, implementation guides, and operational procedures.
• Contribute to the advancement of AI capabilities across the organisation by sharing knowledge, best practices, and technical expertise.

Qualifications:

• Grade 12 (Matric)
• Bachelor's Degree in Computer Science, Data Science, Engineering, Information Technology, Business, or a related field.
• Postgraduate qualification advantageous.
• Certifications in AI, Machine Learning, Product Development, Agile Methodologies, or Cloud Technologies will be beneficial.

Experience:

• 3 - 5 years' experience in Software Engineering, Machine Learning, Data Science, or AI Development.
• Proven experience building and deploying AI or automation solutions in live production environments.
• Experience delivering technology products or solutions that generate measurable business value.
• Exposure to Financial Services, Insurance, Banking, or regulated industries advantageous.
• Experience working with business stakeholders, data teams, and agile delivery environments.

Technical Skills:

• Python and SQL
• Machine Learning and Deep Learning concepts
• Large Language Models (LLMs)
• Prompt Engineering
• Retrieval-Augmented Generation (RAG)
• Vector Databases and Embeddings
• FastAPI
• PyTorch and Hugging Face
• Data Pipelines and ETL Processes
• Azure and/or AWS Cloud Platforms
• Docker and CI/CD Pipelines
• Git Version Control
• Linux and scripting environments

• Strong analytical and problem-solving skills
• Ability to translate business challenges into technical solutions
• Excellent communication and stakeholder management ability
• Innovative and product-focused mindset
• Strong attention to detail and quality
• Ability to work independently and within cross-functional teams
• Commercial awareness and business acumen
• Passion for emerging technologies and AI innovation
• Results-driven with a strong sense of ownership and accountability