AI Engineer

Technology
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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).