Overview
About CBTW
CBTW is a global independent tech consultancy group. With a team of more than 3,000 talented tech specialists on the ground in over 35 cities across Europe, the USA, Asia, Australia and Africa, we serve clients of all sizes. We believe collaboration betters our world. Our unique open ecosystem model allows us to deliver end-to-end tech solutions.
About Our Partner
Our Partner is Australia's only dedicated B2B credit reporting agency, and one of the country's most innovative fintech success stories.
We help Australian businesses of all sizes - from sole traders and family-run operators to ASX-listed enterprises - reduce risk, get paid faster and trade with confidence. Our platform helps businesses see financial trouble coming early enough to do something about it. By predicting failure before it happens, we empower our customers to protect revenue, safeguard cash flow and grow with confidence.
We offer a complete suite of credit reporting and risk management solutions across the entire customer lifecycle - from onboarding and automated credit decisioning through to ongoing monitoring, PPSR registrations, UBO/KYC reporting and automated collections.
Trusted by thousands of businesses across every industry and region in Australia, we sit at the centre of the country's B2B economy, providing the data, insights and technology that keep trade moving.
About The Role
This is an opportunity to build AI that matters and to see the difference your work makes. As an AI Product Engineer based in Vietnam, you'll develop production-ready AI products and agentic systems that help Australian businesses make smarter decisions, manage risk and trade with confidence. You'll work across applied AI,
software engineering and product delivery, turning customer and business problems into secure, reliable and scalable solutions.
You'll contribute hands-on across the full development lifecycle, from discovery and technical design through frontend and backend implementation, evaluation, deployment and production support. Working with Product, Engineering, Data and Infrastructure teams across Vietnam and Australia, you'll build agentic workflows, Retrieval-Augmented Generation (RAG) solutions, APIs, integrations and customer-facing AI experiences.
For the right person, this role offers the chance to deepen your expertise in agentic AI, RAG, LLM evaluation and production engineering while solving meaningful problems in a risk-sensitive environment. You'll learn from experienced engineers, contribute reusable patterns and develop the practical judgement needed to deliver observable, secure and high-quality AI systems.
Responsibilities
Some of your responsibilities include and are not limited to:
Design, build and optimise AI-powered product features, APIs, RAG solutions and agentic workflows for customer and business use cases
Contribute hands-on across the AI development lifecycle, including technical design, frontend and backend implementation, testing, evaluation, deployment and production support
Build agentic systems using prompt and context engineering, tool calling, memory, external APIs and integrations with internal business systems
Create evaluation datasets and test cases, monitor production behaviour, and improve the accuracy, safety, robustness and reliability of AI systems
Write clean, maintainable and well-tested Python and TypeScript code, and contribute to code reviews, documentation and reusable engineering patterns
Collaborate with Product, Engineering, Data, Infrastructure and business stakeholders across Vietnam and Australia to clarify problems and deliver practical solutions
Document technical decisions, methodologies and findings, and share knowledge through team demonstrations and collaboration forums
Qualifications
Strong software engineering fundamentals and practical experience building modern applications, backend services or APIs
Hands-on experience applying LLMs and Generative AI technologies to product or business problems
Practical understanding of agentic patterns, prompt and context engineering, tool calling, memory and model integration
End-to-end understanding of RAG, including chunking, embedding models, retrieval approaches, evaluation metrics and vector databases
Ability to write clean, maintainable and well-tested code and contribute to code reviews, CI/CD and production support
Awareness of AI safety, explainability, bias, security and reliability considerations in production environments
Strong problem-solving skills, curiosity and the ability to work proactively through ambiguity with guidance from senior engineers
Clear written and verbal English and the ability to collaborate effectively with technical and non-technical stakeholders across locations
Preferred Experience:
2-5 years of software engineering, machine learning engineering or applied AI experience
Experience building AI-powered applications, agentic workflows, customer-facing features or internal productivity tools
Practical experience with RAG or GraphRAG, prompt engineering, LLM evaluation or model optimisation
Experience integrating AI models with APIs, business systems and production application workflows
Experience deploying applications or models on AWS, GCP or Azure using Docker
Familiarity with MLOps or LLMOps tools and practices, including observability, evaluation and automated delivery
Full-stack software development experience, or experience with computer vision, OCR or time-series use cases
Experience working in Scrum, Kanban or hybrid delivery environments
Our tech stack:
Programming:Python, TypeScript and SQL
Observability and evaluation:Langfuse, MLflow, OpenTelemetry, Datadog
Data and retrieval:PostgreSQL, OpenSearch, vector databases, embeddings
Cloud and delivery:AWS, Docker, GitHub and CI/CD pipelines
Due to the large number of applicants, only shortlisted candidates will be contacted.