AI Application Consultant and Engineer (Japanese Speaking)

Pasona Singapore Pte. Ltd.; Singapore; Sur place; SGD 100 000 - 160 000; Plein temps

Résumé du poste

Pasona Singapore Pte. Ltd. is seeking an experienced AI Engineer to partner with clients to deliver measurable value through AI agents.

You will translate business requirements into technical solutions, lead end-to-end delivery from discovery to deployment, and collaborate with engineering, security, data, and business teams. You will design and deploy enterprise-grade AI agents using LangGraph, Semantic Kernel, AutoGen, and OpenAI SDKs, build reusable frameworks, and ensure observability,

Qualifications

• Minimum Degree in Computer Science or related field with 3+ years in AI engineering, Gen AI, or enterprise AI delivery.
• Experience with AI agent frameworks such as LangGraph, Semantic Kernel, AutoGen, OpenAI Agents SDK, or Copilot Studio.
• Solid understanding of RAG, prompt engineering, vector databases, APIs, and cloud platforms (Azure, AWS, GCP).

Responsabilités

• Partner with clients to identify AI opportunities delivering measurable business value.
• Translate business requirements into technical solutions, plans, and rapid prototypes.
• Lead end-to-end delivery from discovery to deployment and adoption.
• Facilitate technical workshops across engineering, security, data, and business teams.
• Design, develop, and deploy enterprise-grade AI agents using applicable frameworks.
• Build agent workflows with tool calling, planning, memory management, and multi-agent orchestration.
• Integrate AI agents with enterprise apps, APIs, databases, and knowledge repositories.
• Implement observability, evaluations, and cost-aware performance monitoring.
• Build backend services, APIs, and conversational UIs with secure access and Citations.

Connaissances

AI engineering

Generative AI

AI agent development

Full-stack development

Cloud solutions

APIs & integrations

Pre-sales / consulting

Enterprise frameworks

Formation

Bachelor's degree in Computer Science

Outils

LangGraph

Semantic Kernel

AutoGen

OpenAI Agents SDK

Copilot Studio

Description du poste

• Partner directly with clients and stakeholders to identify opportunities where AI agents can deliver measurable business value.
• Translate business requirements into technical solutions, implementation plans, and rapid prototypes.
• Lead end-to-end delivery from discovery and proof-of-concept through deployment, adoption, and continuous improvement.
• Facilitate technical workshops and collaborate with engineering, security, data, and business teams.
• Design, develop, and deploy enterprise-grade AI agents using frameworks such as LangGraph, Semantic Kernel, AutoGen, OpenAI Agents SDK, and Copilot Studio.
• Build advanced agent workflows incorporating tool calling, planning, memory management, multi-agent orchestration, and human-in-the-loop processes.
• Integrate AI agents with enterprise applications, APIs, databases, knowledge repositories, and business processes.
• Implement RAG architectures, prompt engineering, guardrails, observability, evaluations, and performance monitoring.
• Optimize agent quality, reliability, scalability, safety, latency, and cost efficiency.
• Build backend services, APIs, and conversational interfaces with streaming responses, authentication, citations, and feedback mechanisms.
• Apply software engineering best practices including testing, code reviews, version control, API design, and reusable component development.
• Deploy and manage applications using containerization, CI/CD pipelines, and cloud-native services.
• Monitor production environments, troubleshoot issues, and enhance operational resilience.
• Develop reusable frameworks and accelerators to support enterprise AI delivery.
• Support AI and data consulting engagements by translating business challenges into technical solutions.
• Communicate complex technical and analytical concepts effectively to business and executive stakeholders.
• Build demonstrations, prototype applications, and proof-of-concepts to support client engagements and proposals.
• Validate AI use cases, machine learning models, and solution architectures through rapid prototyping.
• Support client presentations, technical discussions, and solution positioning during the sales process.

Requirements:

• Minimum Degree in Computer Science, Information Technology, Engineering, or a related field with at least 3 years of experience in AI Engineering, Generative AI, AI Agent Development, Full-Stack Development, Cloud Solutions, or related areas.
• Experience with AI agent frameworks such as LangGraph, Semantic Kernel, AutoGen, OpenAI Agents SDK, or Copilot Studio.
• Solid understanding of RAG, prompt engineering, vector databases, enterprise integrations, APIs, and cloud platforms (Azure, AWS, or GCP).
• Experience in Machine Learning, Data Science, or Advanced Analytics, consulting or pre-sales engagements, enterprise-scale AI platform delivery, and exposure to Financial Services, Trading, Supply Chain, or other enterprise environments will be advantageous.