AI Engineer - Team Lead

LinkedIn|FPT Digital|Vietnam|13 Aug 2026
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JOB DESCRIPTION

We are looking for someone who wants to build a product where enterprise data, GenAI, and AI Agents work together to power thousands of sales decisions every day.

If you prefer challenging problems in architecture, data, and AI over pre-defined roadmaps, the Sales Intelligence Platform is the place for you.


📍Location: FPT Tower, 10 Pham Van Bach, Ha Noi


1. Key Responsibilities

  • Lead the engineering team to develop the Sales Intelligence platform
  • Translate architecture and product requirements into feasible technical solutions
  • Design and develop core components of the system: Data Services, AI Services, Agent Framework, APIs, Frontend & Backend Platform
  • Coordinate with the Product Owner, Solution Architect, and Engineering Team to make critical technical decisions
  • Define coding standards, engineering practices, and product quality
  • Participate in design and code reviews, and optimize system performance
  • Support and develop the technical capabilities of the engineering team


2. Job Requirements

  • 5+ years of experience in software development
  • 2+ years of experience in a Tech Lead role or as a Senior Engineer leading a team
  • Experience with distributed system architecture, APIs, and Cloud Platforms
  • Proficient in at least one modern programming language (Java, Python, C#, NodeJS, or equivalent)
  • Ability to solve complex technical problems and lead a team


3. Preferred Qualifications (Nice-to-have)

  • Prior experience building a product from the early stages
  • Experience with Data Platforms, Analytics, or AI Systems
  • Understanding of LLMs, GenAI, RAG, or AI Agents
  • Experience with Azure, AWS, or GCP
  • Interest in Product Thinking and Business Impact


4. Benefits

  • Opportunity to lead the development of an AI-native product from scratch
  • Work with the latest AI technologies
  • Directly influence the architecture, technology, and product direction
  • Fast-paced, flat environment with high autonomy
  • Partner with an experienced Product, Data, and AI Engineering team on real-world business problems