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AI Builder / AI Agent Engineer – Japan Market
Full-time
Company
FPT Smart Cloud (FPT.AI)
Location
Vietnam/JP
Employment
Full-time
Market
Japan
1. About the Role
We are looking for an
AI Builder / AI Agent Engineer
to join FPT Smart Cloud's AI Consulting & Delivery team and support the expansion of FPT.AI's AI Agent solutions in the
Japanese market
.
In this role, you will be responsible for
building, integrating, deploying, testing, operating and maintaining AI Agents for enterprise customers
.
You will work closely with Japanese customers, Business Consultants, Solution Architects, Product Managers and Software Engineers to turn business requirements into production-ready AI Agent solutions.
The AI Agents may include
AI Voice Agents / Voicebots
Conversational AI Agents
Customer Service Agents
Enterprise Knowledge Agents / RAG Agents
Task-oriented AI Agents
AI Agents integrated with enterprise applications and workflows
Other Agentic AI solutions developed or provided by FPT.AI
The position is highly hands-on. You will use FPT.AI platforms and other AI technologies to
configure/build AI Agents, connect enterprise data and systems, test and optimize their performance, deploy them into production, and continuously maintain and improve them.
2. Key ResponsibilitiesA. AI Agent Building & Configuration
Build and configure AI Agents based on customer business requirements.
Configure AI Agent workflows, prompts, tools, knowledge bases, business rules and conversation flows.
Build AI Voice Agents using FPT.AI Voice/Conversational AI platforms.
Configure RAG / Knowledge Base solutions for enterprise AI Agents.
Design Agent instructions, system prompts, guardrails and fallback mechanisms.
Configure multi-step Agent workflows and tool/function calling.
Customize AI Agent behavior for specific customer domains and business processes.
Continuously experiment with different models, prompts, retrieval strategies and Agent configurations to improve performance.
B. Enterprise Data & System Integration
Connect AI Agents with customer enterprise data and knowledge sources.
Integrate AI Agents with APIs, databases, CRM, contact-center platforms and enterprise applications.
Configure data ingestion and synchronization pipelines for AI Knowledge/RAG systems.
Work with customer technical teams to understand APIs, authentication, data structures and system architecture.
Implement or configure API/function/tool integrations that allow AI Agents to perform business actions.
Support integration with systems such as CRM, ERP, ticketing systems, knowledge management systems and internal applications.
C. Testing & Quality Assurance
Design and execute test cases for AI Agents.
Test conversation flows, knowledge retrieval, tool calling, business logic and edge cases.
Conduct functional testing, regression testing and scenario-based testing.
Evaluate AI Agent accuracy, relevance, latency, stability and user experience.
Analyze failed conversations and identify root causes.
Optimize prompts, knowledge bases, retrieval strategies and Agent workflows based on test results.
Support UAT with enterprise customers.
D. Deployment & Go-Live
Prepare AI Agents for production deployment.
Configure production environments and deployment parameters.
Support integration testing and customer acceptance testing.
Monitor AI Agent performance during pilot and production rollout.
Troubleshoot issues during go-live and production operation.
Work with internal Engineering / DevOps / AI teams to resolve technical issues.
E. AI Agent Operation & Maintenance
Operate and maintain AI Agents after deployment.
Monitor Agent performance, errors, latency, conversation quality and system health.
Investigate and resolve production issues.
Update prompts, knowledge bases, workflows and integrations when business requirements change.
Continuously improve AI Agent performance based on real customer interactions and operational data.
Maintain Agent configurations, technical documentation and deployment records.
Support incident management and root-cause analysis.
F. Customer Collaboration – Japan
Work directly with Japanese enterprise customers during implementation and operation.
Understand customer business processes and translate requirements into AI Agent configurations.
Participate in workshops, requirement clarification, technical discussions, testing and UAT.
Explain AI Agent behavior, limitations and operational considerations to customers.
Coordinate with Japanese Sales, Consulting, PM and Solution Architect teams.
Support PoC, Pilot and production deployment projects.
3. Typical Project Lifecycle
The AI Builder will participate in the full AI Agent lifecycle:
Business Requirement → Solution Design → AI Agent Building → Data / API Integration → Testing → UAT → Deployment → Go-Live → Monitoring → Maintenance → Continuous Optimization
You will therefore be expected to understand not only how to
build an Agent
, but also how to make it
work reliably in a real enterprise production environment
.
4. Technology Scope
The candidate will work with FPT.AI platforms and technologies, including but not limited to:
FPT.AI Platforms
FPT.AI Agent
FPT.AI Voice Agent / Voicebot
FPT.AI Engage
FPT.AI Knowledge / Enterprise Knowledge solutions
FPT.AI Chat / Conversational AI
FPT GenAI Studio
Other FPT.AI Agentic AI platforms and products
AI / GenAI Technologies
LLMs
Generative AI
AI Agents / Agentic AI
RAG
Prompt Engineering
Function Calling / Tool Calling
Knowledge Base
Embeddings / Vector Search
STT / TTS
Conversational AI
Guardrails and AI evaluation
Integration Technologies
REST API
JSON
Webhooks
SQL / Databases
Authentication / Authorization
CRM / ERP / Contact Center systems
Enterprise applications
Cloud platforms
Note
The role is not limited to FPT.AI technologies. Candidates may be required to work with third-party AI models, Agent frameworks, cloud services and enterprise technologies depending on customer requirements.
5. Required QualificationsTechnical Skills
2+ years of experience in software engineering, AI engineering, solution engineering, implementation engineering or a related technical role.
Experience building, configuring or implementing
AI / GenAI applications
.
Understanding of
LLM, Generative AI and AI Agent concepts
.
Experience with
Prompt Engineering and RAG
is preferred.
Experience integrating systems through
REST APIs
.
Basic understanding of databases and data structures.
Ability to troubleshoot technical issues and analyze system behavior.
Ability to work with logs, test results and operational data.
Basic programming/scripting skills in
Python, JavaScript/TypeScript or similar languages
.
AI Agent Skills
Candidates should have a strong interest in hands-on AI Agent development and be comfortable with:
Designing Agent instructions and prompts.
Building Agent workflows.
Connecting Agents to tools/APIs.
Configuring knowledge bases and RAG.
Testing Agent responses and business scenarios.
Debugging Agent behavior.
Evaluating AI output quality.
Iteratively optimizing Agents based on production feedback.
Experience with platforms such as
Microsoft Copilot Studio, Google Vertex AI, AWS Bedrock, LangChain, LangGraph, Dify, Salesforce Agentforce, Kore.ai, Cognigy, Yellow.ai
or similar platforms is a strong advantage.
6. Japan Market Requirements
Because this role will primarily support Japanese enterprise customers, the following are highly valued:
Japanese Language
Japanese: JLPT N2 or above
preferred.
Able to communicate with Japanese customers in technical/business discussions.
Able to read Japanese technical documents, specifications and customer requirements.
Japanese business communication and working etiquette are highly valued.
Customer-facing Capability
Comfortable working directly with enterprise customers.
Able to clarify ambiguous requirements and convert them into concrete technical tasks.
Strong communication and documentation skills.
Ability to explain technical concepts in a simple and structured manner.
Willingness to work in a customer-oriented delivery environment.
Experience working with Japanese customers or in Japan is a strong advantage.
7. Preferred Qualifications
Candidates with one or more of the following will have an advantage:
Experience implementing
AI Agent / GenAI solutions for enterprise customers
.
Experience with
Voicebot / Contact Center AI / Conversational AI
.
Experience with RAG / Enterprise Search / Knowledge Management.
Experience with LLM APIs such as OpenAI, Gemini, Claude or equivalent.
Experience with Agent frameworks such as LangChain / LangGraph or similar.
Experience with cloud platforms: AWS, Azure or Google Cloud.
Experience with CRM, ERP, Contact Center or enterprise workflow systems.
Experience in PoC → Pilot → Production deployment.
Experience supporting production AI systems.
Experience working with Japanese customers.
Japanese JLPT N1 is a strong plus.
English communication skills are a plus.
8. Personal CompetenciesCustomer-oriented
Able to understand the customer's real business problem rather than simply implementing technical requirements.
Problem-solving
Able to investigate issues systematically and find practical solutions in ambiguous and rapidly changing AI environments.
Hands-on & Execution-oriented
Willing to configure, test, debug and operate AI Agents directly rather than only producing technical documents.
Fast Learner
Generative AI and Agent technologies evolve rapidly. The candidate should be able to quickly learn new models, platforms and tools.
Attention to Detail
AI Agents are highly sensitive to prompts, data quality, business rules and edge cases. Strong attention to detail is essential.
Collaboration
Able to work effectively with
Japanese customers
Business Consultants
Project Managers
Solution Architects
AI Engineers
Software Engineers
Product Managers
Operation / Customer Success teams
09. Career Opportunity
This role provides an opportunity to become a core member of FPT.AI's
AI Agent delivery capability for the Japanese market
.
Successful candidates can grow toward
AI Builder → Senior AI Builder → AI Agent Solution Engineer → AI Agent Solution Architect → AI Consulting / Delivery Lead