The AI Engineer is responsible for researching, developing, and deploying artificial intelligence solutions that serve both internal operations and client needs. This role plays a critical part in the company's AI-Driven transformation roadmap, with a focus on automation systems, AI Agents, and supporting the Data team in building intelligent analytics tools. Job Description: 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). Location: Ho Chi Minh – Lim Tower 3 - 29A Nguyen Dinh Chieu street, Da Kao, District 1 Brand: Merkle Time Type: Full time Contract Type: Fixed Term Contract (Fixed Term)
Summary
Design and deploy AI agents, RAG systems, and automated data pipelines for internal and client use while supporting data analytics. Requires 2-3 years of production AI/ML experience, Python, LLMs, vector databases, and Salesforce CRM familiarity.
Responsibilities
Design and deploy AI agents, RAG systems, automated data pipelines, and alerting; collaborate on Salesforce CRM integrations; add AI layers to analytics tools; evaluate and recommend AI models; train team members; monitor emerging AI developments.
Qualifications
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; Python at production level; strong understanding of LLM ecosystem and advanced prompting; working knowledge of Salesforce CRM; able to present work via portfolio or case study.
Experience requirements
Minimum 2-3 years of hands-on AI/ML development experience in production environments.
How to apply
Portfolio or case study of production AI projects.