SENIOR AI DEVELOPER

Ricoh Asia Pacific Pte Ltd.; Malaysia; On-site; MYR 120,000 - 240,000; Full time

Job summary

Ricoh Asia Pacific Pte Ltd. seeks a hands-on AI developer to design and deliver production-grade AI applications across APAC. You will integrate LLMs, build end-to-end AI workflows, and collaborate with stakeholders while mentoring junior developers.

Requirements include 3-5 years of development experience, strong Python, API development, and experience with AI tooling. The role demands independent delivery and the ability to translate business problems into scalable AI solutions.

Qualifications

• 3-5 years development experience with at least 1-2 years building AI-powered applications that are in production use.
• Strong Python skills and experience integrating LLMs via APIs, prompt engineering, RAG, and function calling / tool use.
• Experience designing and building AI automation workflows (n8n, Power Automate, Make, or custom pipelines).
• Proficient in REST API development (FastAPI, Flask, etc.).

Responsibilities

• Architect and deliver AI applications end-to-end: LLM integration, RAG pipelines, AI agents, and workflow automation serving APAC teams.
• Build and maintain APIs to expose AI capabilities to internal systems and business applications.
• Design AI automation workflows that streamline operations across regional offices.
• Mentor junior AI developers: code reviews, pair programming, and establishing team development standards.
• Lead technical discussions with vendors and stakeholders; evaluate AI tools and proposals critically.
• Ensure production quality: testing, error handling, monitoring, and documentation.

Skills

Python

LLM integration

API development

RAG pipelines

Workflow automation

Mentoring

Independent delivery

Stakeholder collaboration

Code reviews

Education

Bachelor's degree in Computer Science/Software Engineering/IT

Tools

Claude Code

GitHub Copilot

Cursor

Job description

Designs, builds, and deploys AI-powered applications, APIs, and workflow automations to support business operations across APAC. This role leverages LLMs, RAG, and AI agents to deliver scalable solutions, ensures production-quality implementations, and collaborates with stakeholders while mentoring junior developers and driving AI innovation.

Job Description

Key Responsibilities and Specific Duties

• Architect and deliver AI applications end-to-end: LLM integration, RAG pipelines, AI agents, and workflow automation serving APAC teams.
• Build and maintain APIs to expose AI capabilities to internal systems and business applications.
• Design AI automation workflows (n8n, Power Automate, or custom pipelines) that streamline operations across regional offices.
• Mentor junior AI developers: code reviews, pair programming, and establishing team development standards.
• Lead technical discussions with vendors and stakeholders; evaluate AI tools and proposals critically.
• Ensure production quality: testing, error handling, monitoring, and documentation.

Education

Bachelor's degree in Computer Science, Software Engineering, IT, or related field. Strong portfolios with production AI projects can compensate for formal education requirements.

Skills

Must-Have

• 3-5 years development experience with at least 1-2 years building AI-powered applications that are in production use.
• Python + LLM integration: Strong Python skills. Proven experience integrating LLMs via APIs, prompt engineering, RAG, and function calling / tool use.
• AI workflow automation: You've designed and built multi-step automated workflows incorporating AI (n8n, Power Automate, Make, or custom pipelines).
• API development: You can build REST APIs (FastAPI, Flask, etc.), not just consume them.
• AI dev tools: Proficient with Claude Code, GitHub Copilot, Cursor, or similar. Can guide others in using them effectively.
• Independent delivery: You can take a business problem, design an AI solution, and deliver it end-to-end with minimal supervision.

Strong Advantage

• Cloud AI platforms (Azure OpenAI, Azure AI Foundry, AWS, or GCP AI services).
• AI agent frameworks (LangGraph, CrewAI, AutoGen) or protocols (MCP, A2A).
• Vector databases (Pinecone, ChromaDB, pgvector) for production RAG systems.
• Cloud data platforms (Snowflake, Azure Synapse, BigQuery).
• Docker and CI/CD pipeline experience.
• Team leadership or mentoring experience in a professional setting.

Nice-To-Have

• ML fundamentals (model training, fine-tuning, evaluation - even if not your daily focus).
• Front-end skills (React, HTML/CSS/JS) for building AI app interfaces.
• Real-time AI: speech-to-text, translation, conversational AI systems.
• Microsoft Power Platform / Copilot Studio.
• Azure certifications or equivalent.
• APAC languages (Mandarin, Malay, Thai, Vietnamese) alongside English.