AI Engineer

Technology

Ho Chi Minh – Lim Tower 3 - 29A Nguyen Dinh Chieu street, Da Kao, District 1

About the job

AI Agent & Automation Development

  • Design and develop AI Agents for internal enterprise use and client-facing applications (RAG, chatbots, automation agents).
  • Build automated data pipelines: collection, cleansing, enrichment, and distribution powered by AI.
  • Develop intelligent alerting systems with built-in root cause analysis and recommended actions.
  • Collaborate with the Salesforce CRM team on system integrations between CRM and other platforms (Call Center, DMS, Social Platform) to ensure seamless data exchange and end-to-end customer journey tracking.

Data Team Support

  • Collaborate with the Data team to add AI layers on top of existing dashboards and analytics tools.
  • Build AI tools to automate data processing workflows and quality validation.
  • Advise on and implement AI techniques to improve reporting accuracy and speed.

Internal AI Strategy

  • Evaluate and recommend AI models and frameworks suited to each real-world business use case.
  • Train and support team members in applying AI to their daily workflows.
  • Monitor emerging AI developments and apply relevant techniques to production systems.

Requirements

  • Minimum 2–3 years of hands-on AI/ML development experience in production environments.
  • Proven track record designing and deploying at least one AI Agent or RAG system in a real project.
  • Proficient in Python at production level; capable of writing and reviewing high-quality code.
  • Strong understanding of the LLM ecosystem: OpenAI, Anthropic, Gemini, Llama, and advanced prompting techniques.
  • Experience with vector databases (Pinecone, Weaviate, Chroma, pgvector).
  • Working knowledge of Salesforce CRM: data model, automation flows, or API integration.
  • Demonstrated application of AI to solve real business problems; able to present work via portfolio or case study.

Preferred

  • Experience with Langchain, LlamaIndex, CrewAI, or equivalent AI agent frameworks.
  • Familiarity with Salesforce Einstein, Agentforce, or AI integration on the Salesforce platform.
  • Experience with MLOps: model serving, monitoring, and A/B testing.
  • Portfolio of production AI projects available for review (GitHub, demo, case study).

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