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[Hanoi] Principal/ Senior AI Bridge Engineer

[Hanoi] Principal/ Senior AI Bridge Engineer
Urgent
Hanoi
Tech/Engineer

About Money Forward

Money Forward is a leading fintech company from Japan, providing SaaS solutions that drive the digital transformation of accounting, finance, and operations. At Money Forward Vietnam (MFV), we focus on building high-quality products and engineering capabilities that support our global mission: "Money Forward. Move your life forward."

We are expanding our engineering team in Hanoi with a highly skilled Forward-Deployed Engineer (FDE) who will work closely with product teams, customers, and internal stakeholders to deliver impactful, AI-powered solutions.

Senior Role Overview

As an AI Bridge Engineer at Money Forward Vietnam, you will work directly with cross-functional teams in Japan and Vietnam to design, prototype, and deploy AI-first solutions into real production environments. You will focus on understanding business workflows, identifying opportunities to apply LLMs and AI automation, and rapidly delivering value to users through practical, production-grade AI features.

Your work sits at the intersection of engineering, AI, and product. You will be responsible for transforming ambiguous business challenges into AI-powered solutions that integrate seamlessly with Money Forward’s ecosystem.

Responsibilities 

  • Deeply understand the workflows, business context, and user pain points of our products.
  • Design and implement AI-powered features using LLMs, embeddings, RAG, agents, and automation frameworks.
  • Rapidly prototype AI solutions to validate feasibility and user value before full-scale development.
  • Integrate AI systems with existing backend services, frontend applications, and SaaS product architecture.
  • Deploy, monitor, and optimize AI-powered features for quality, reliability, and performance.
  • Collaborate closely with AI/ML teams, product managers, and engineers across Japan and Vietnam.
  • Translate vague customer or stakeholder problems into clear technical proposals and implementation plans.
  • Drive continuous improvement of AI pipelines, prompt architectures, and evaluation methods.
  • Ensure responsible AI usage, including safety, observability, data quality, and user experience.
     

Qualifications  

Required  

  • Strong software engineering background in one or more languages: Python, Java
  • From 3 years of total experience in AI-related positions, for example: AI Solution Architect, AI Engineer, AI Bridge Engineer, AI Product Engineer, AI Forward-Deployed Engineer, 
  • Solid experience in designing and maintaining production systems.
  • Hands-on experience integrating APIs or cloud services.
  • Familiarity with LLMs or AI/ML concepts (e.g., RAG, embeddings, vector stores, prompt design).
  • Ability to work closely with business stakeholders and convert problem statements into technical solutions.
  • Strong analytical and problem-solving skills, especially in ambiguous or fast-changing environments.
  • Experience working with global teams or cross-cultural environments.
  • Experience working related to Accounting or Corporate performance management.
  • Good communication skills in English; Japanese is a plus.
     

Preferred

  • Direct experience with LLM applications: RAG pipelines, AI agents, automation workflows, or model evaluation.
  • Experience with cloud platforms (AWS/GCP), microservices, and distributed systems.
  • Knowledge of observability, monitoring, and MLOps concepts.
  • Prior work involving customer-facing engineering or consulting-like roles.
     

Our benefits
Our benefits

Caring Mental & Physical Recreation:

  • Hybrid working: 2 days at the office and 3 days WFH
  • Working hour: Flexible start 8AM-9AM from Mon-Fri
  • Full salary in probation
  • Insurance: Applied from Probation period:
    • Social Insurance, Health Insurance, Unemployment Insurance (on 100% salary)
    • Private health insurance & accident insurance. From Managing level: extra for family members
  • Bonus: 13th month salary
  • 16 - 24 paid days off and more
  • Paternity leave: Extra 5 days
  • Annual company trip; Quarterly team building
  • Billiards & Running club
  • Annual health check
  • Well-equipped facility: Macbook pro, additional monitor,..

Caring Career & Development:

  • Clear Career path
  • Foreign language & International technology-related certifications sponsoring
  • External & internal training courses
  • Soft-skill workshops
  • Tech seminars
  • Monthly and biannual Recognition Awards
  • Performance & salary review: twice/year (Jun & Dec)
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