Dentsu

Marketing analytics and digital advertising solutions

AI Engineer

AI Application EngineeringUpdated on Nov 13

Full-timeHo Chi Minh City, VietnamNo salary listed

About the Job

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, including OpenAI, Anthropic, Gemini, and Llama, and advanced prompting techniques.
Experience with vector databases, including Pinecone, Weaviate, Chroma, or pgvector.
Working knowledge of Salesforce CRM, including its 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.

Responsibilities

Design and develop AI Agents for internal enterprise use and client-facing applications, including RAG, chatbots, and automation agents.
Build automated data pipelines for 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 integrations between CRM and other platforms, including Call Center, DMS, and Social Platform, to enable data exchange and end-to-end customer journey tracking.
Collaborate with the Data team to add AI layers to 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.
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.

Desired Qualifications

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, including model serving, monitoring, and A/B testing.
Portfolio of production AI projects available for review, such as GitHub, demo, or case study.

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)

About the Company

Dentsu

Marketing analytics and digital advertising solutions

Dentsu International is a global marketing and advertising partner that helps brands grow by navigating the digital economy and using data-driven insights. Its services include consumer intelligence to understand customer behavior, digital marketing and advertising to reach audiences, customer experience management (CXM) to improve interactions, and gaming solutions to engage audiences. The company earns revenue through service fees, project work, and long-term contracts with a diverse mix of clients across retail, technology, and entertainment. Its approach combines research and analysis to set industry-focused insights and drive growth, while collaborating across disciplines to deliver integrated marketing solutions. Dentsu also pursues social impact initiatives, promoting inclusion and positive change in the industry and communities.

Company size: 10,001+
Company stage: IPO
Headquarters: Tokyo, Japan
Founded: 1901

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