Applied AI Engineer - Finance Super App (Vietnam)
WFA Digital Insight
As the demand for AI and automation specialists continues to grow, with a 25% increase in job postings in 2023, companies like Bjak are at the forefront of innovation. With a strong foundation in software engineering and hands-on experience in AI, candidates can capitalize on this trend. Bjak's mission to make financial services more accessible is an attractive proposition for those passionate about fintech. With the role requiring strong technical skills, a practical approach to AI, and the ability to work with real-world data, candidates should be prepared to demonstrate their expertise and showcase their ability to work in a fast-paced environment.
Job Description
About the Role
The Applied AI Engineer role at Bjak is a unique opportunity for candidates to work on building AI-native systems for the company's finance super app. As an Applied AI Engineer, you will be responsible for designing and implementing AI-powered workflows, assistants, and automation systems. This role is not limited to research and development but is focused on applying AI to real-world problems, improving products, reducing manual work, and enhancing the overall user experience.The role is part of a dynamic team that values innovation and collaboration. With a strong focus on fintech and a mission to make financial services more accessible, Bjak offers a challenging and rewarding work environment. The company's commitment to using technology to drive change and improve lives is evident in its products and services.
In this role, you will have the opportunity to work with cross-functional teams, including product and engineering, to identify areas where AI can add value and develop solutions to automate workflows. Your work will have a direct impact on the company's operations and will contribute to the development of next-generation financial products.
What You Will Do
- Build AI-powered workflows, assistants, and automation systems to improve operational efficiency
- Apply AI across customer support, CRM, onboarding, claims, renewals, payments, operations, and internal tools
- Collaborate with product and engineering teams to identify opportunities for AI adoption and develop scalable AI-native systems
- Design and implement integrations with LLMs, internal data, APIs, documents, knowledge bases, and business systems
- Develop evaluation, monitoring, and fallback flows to ensure AI outputs are useful, safe, and reliable
- Prototype quickly, test with users or operators, and productionize what works
- Improve speed, quality, and consistency across workflows using AI where it creates real business value
- Work with real-world data and processes to develop practical AI solutions
- Identify areas where AI can add value and develop solutions to automate workflows
- Collaborate with cross-functional teams to develop and implement AI-powered solutions
What We Are Looking For
- Strong software engineering foundation, preferably with Python and backend systems
- Hands-on experience building with LLM APIs, agents, RAG, workflow automation, or AI tools
- Ability to connect AI systems with real product, data, and operational workflows
- Good judgment on where AI helps and where rule-based systems or human review are better
- Understanding of evaluation, accuracy, latency, cost, privacy, and failure modes
- Experience in fintech, insurance, support automation, CRM, or operations automation is a strong advantage
- Ability to work with messy real-world data and processes
- Honest about what AI can and cannot do
- Strong English communication skills
- Ability to work in a fast-paced environment and prioritize tasks effectively
Nice to Have
- Experience with cloud-based technologies and containerization
- Knowledge of cybersecurity principles and practices
- Familiarity with DevOps tools and methodologies
- Experience with agile development methodologies
- Certification in AI, machine learning, or a related field
Benefits and Perks
- Competitive salary and benefits package
- Opportunity to work with a dynamic and innovative company
- Collaborative and supportive work environment
- Professional development opportunities
- Flexible working hours and remote work options
- Access to cutting-edge technologies and tools
- Recognition and reward for outstanding performance
- Comprehensive health insurance package
- Generous paid time off and holidays
How to Stand Out
- Tip: Showcase your practical experience with AI and machine learning by providing examples of projects you have worked on and the results you achieved.
- Tip: Highlight your ability to work with real-world data and processes, and demonstrate your understanding of the challenges and limitations of AI adoption.
- Tip: Be prepared to discuss your approach to evaluation, monitoring, and fallback flows, and provide examples of how you have implemented these in previous roles.
- Tip: Emphasize your strong software engineering foundation and experience with Python and backend systems.
- Tip: Research the company and its products, and be prepared to discuss how your skills and experience align with the company's mission and goals.
- Tip: Practice your communication skills, as strong English communication is required for this role.
- Tip: Be honest about your strengths and weaknesses, and be prepared to discuss areas where you are still learning and growing.
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