The Role
Develop and deploy production AI solutions, including RAG systems, chatbots, automation agents, intelligent alerting, data pipelines, and AI-enhanced analytics. Integrate Salesforce with business platforms, evaluate models and frameworks, support AI strategy, train employees, and monitor emerging AI technologies. The role requires production Python expertise, LLM ecosystem knowledge, vector database experience, Salesforce integration skills, and a demonstrated AI project portfolio.
Summary Generated by Built In
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 1Brand:
MerkleTime Type:
Full timeContract Type:
Fixed Term Contract (Fixed Term)Skills Required
- 2–3 years of hands-on AI/ML development experience in production environments
- Experience designing and deploying at least one AI Agent or RAG system in a real project
- Production-level Python proficiency and ability to write and review high-quality code
- Strong understanding of OpenAI, Anthropic, Gemini, Llama, and advanced prompting techniques
- Experience with vector databases including Pinecone, Weaviate, Chroma, or pgvector
- Working knowledge of Salesforce CRM data models, automation flows, or API integration
- Demonstrated application of AI to solve business problems
- Portfolio or case study demonstrating relevant AI work
- Experience with LangChain, LlamaIndex, CrewAI, or equivalent AI agent frameworks
- Familiarity with Salesforce Einstein, Agentforce, or Salesforce AI integrations
- MLOps experience, including model serving, monitoring, and A/B testing
- Portfolio of production AI projects available through GitHub, demos, or case studies
dentsu Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about dentsu and has not been reviewed or approved by dentsu.
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Parental & Family Support — Paid parental leave at full pay and caregiver supports (including backup care) are emphasized as standout elements. Feedback suggests family-oriented benefits are a strong part of the package.
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Leave & Time Off Breadth — Flexible or unlimited PTO, extensive paid holidays, and a year-end office closure are established components. Feedback suggests time-off policies are generous and add meaningful flexibility.
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Retirement Support — A large, established 401(k) plan with employer matching is clearly documented. Feedback suggests retirement benefits feel competitive and straightforward.
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The Company
What We Do
We are dentsu. We team together to help brands predict and plan for disruptive future opportunities and create new paths to growth in the sustainable economy. We know people better than anyone else and we use those insights to connect brand, content, commerce and experience, underpinned by modern creativity. We are the network designed for what’s next
